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University of Oklahoma
1.
Mould, Nicholas Allen.
NEIGHBORHOOD-LEVEL LEARNING TECHNIQUES FOR NONPARAMETRIC SCENE MODELS.
Degree: PhD, 2012, University of Oklahoma
URL: http://hdl.handle.net/11244/319243 
► In this dissertation, I present a nonparametric pixel level scene model based on several recently reported stochastic video segmentations algorithms. I propose new stochastic techniques…
(more)
▼ In this dissertation, I present a nonparametric pixel level scene model based on several recently reported stochastic video segmentations algorithms. I propose new stochastic techniques for updating scene models over time that are focused on the incorporation of neighborhood-level features into the model learning process and demonstrate the effectiveness of the system on a wide range of challenging visual tasks. Specifically, I propose a model maintenance policy that is based on the replacement of outliers within each nonparametric pixel level model through kernel density estimation (KDE) and a neighborhood diffusion procedure where information sharing between adjacent models having significantly different shapes is discouraged. Quantitative results are compared using the well known percentage correct classification (PCC) and a new probability correct classification (PrCC) metric, where the underlying models are scrutinized prior to application of a final segmentation threshold. In all cases considered, the superiority of the proposed model with respect to the existing state-of-the-art techniques is well established.
Advisors/Committee Members: Havlicek, Joseph P||Tull, Monte P (advisor).
Subjects/Keywords: Computer vision; Image processing; Video surveillance; Pattern recognition systems
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APA (6th Edition):
Mould, N. A. (2012). NEIGHBORHOOD-LEVEL LEARNING TECHNIQUES FOR NONPARAMETRIC SCENE MODELS. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/319243
Chicago Manual of Style (16th Edition):
Mould, Nicholas Allen. “NEIGHBORHOOD-LEVEL LEARNING TECHNIQUES FOR NONPARAMETRIC SCENE MODELS.” 2012. Doctoral Dissertation, University of Oklahoma. Accessed January 21, 2021.
http://hdl.handle.net/11244/319243.
MLA Handbook (7th Edition):
Mould, Nicholas Allen. “NEIGHBORHOOD-LEVEL LEARNING TECHNIQUES FOR NONPARAMETRIC SCENE MODELS.” 2012. Web. 21 Jan 2021.
Vancouver:
Mould NA. NEIGHBORHOOD-LEVEL LEARNING TECHNIQUES FOR NONPARAMETRIC SCENE MODELS. [Internet] [Doctoral dissertation]. University of Oklahoma; 2012. [cited 2021 Jan 21].
Available from: http://hdl.handle.net/11244/319243.
Council of Science Editors:
Mould NA. NEIGHBORHOOD-LEVEL LEARNING TECHNIQUES FOR NONPARAMETRIC SCENE MODELS. [Doctoral Dissertation]. University of Oklahoma; 2012. Available from: http://hdl.handle.net/11244/319243
University of Oklahoma
2.
Worcester, Lynn.
Allison Nelson: Pianist, Teacher and Editor.
Degree: DMA, 2015, University of Oklahoma
URL: http://hdl.handle.net/11244/15477
► This study documents the varied and significant contributions of Allison Nelson (b. 1927) to the field of piano through her work as a solo and…
(more)
▼ This study documents the varied and significant contributions of Allison Nelson (b. 1927) to the field of piano through her work as a solo and collaborative pianist as part of the piano duo Nelson and Neal and teacher, primarily as a faculty member at the
University of Tennessee at Martin (UTM), and as a writer and editor of the Nelson and Neal Piano Study Series and seventeen piano ensemble publications for Alfred Music.
Nelson’s career has spanned over seventy-five years. Beginning in 1938, performances as a child prodigy in Australia both on the radio and in public venues for the Australian Broadcasting Commission (ABC) launched what became a distinguished career. As part of the highly regarded Nelson and Neal piano duo, Allison Nelson toured the United States and Canada from 1950 to 1968 with her husband, Harry Neal, performing approximately 1,500 concerts. Following Neal’s death in 1968, Nelson served as artist-in-residence at UTM from 1971 to 1989 where she helped establish the bachelor of music in piano performance degree program at UTM and founded the UTM Piano Ensemble, a course for music majors led by Nelson that created performance opportunities for its students. Nelson first wrote and edited the Nelson and Neal Piano Study Series in the 1960s, and in her retirement began extensive editing work with co-editor Dr. Maurice Hinson on piano ensemble publications for Alfred Music. This editing work began in 2005 and continues to this day.
Nelson’s contributions as a pianist, teacher and editor are characterized by her seriousness as a musician and her deep understanding of the nuances of solo and collaborative performance. The author interviewed Nelson as well as professional colleagues who worked with her in various capacities to profile Nelson’s contributions. The author also gathered information through mailed questionnaires from additional colleagues as well as from former students of Nelson.
This study contains seven chapters and several appendices. Chapter 1 introduces the subject, contains a description of the procedures and sources used, and includes a review of similar studies. Chapter 2 contains a biographical sketch of Nelson. Chapter 3 reviews Nelson’s contributions as a pianist including her years as a child prodigy in Australia, beginning at age ten in 1938, her time at the Curtis Institute (1944-1949), her Nelson and Neal duo years (1949-1968) and her service as artist-in-residence at UTM and beyond. Chapter 4 considers Nelson’s contributions as a teacher, and includes her years as artist-in-residence at UTM where she helped establish the bachelor of music in piano performance degree program, the UTM Piano Ensemble and the
University Trio at UTM. Chapter 4 also considers Nelson’s attributes as a teacher and the assimilation of her teaching philosophies as seen through the eyes of former students and colleagues who participated in this study. Chapter 5 explores Nelson’s contributions through her work on the Nelson and Neal Piano Study Series and chapter 6 documents her collaboration and work…
Advisors/Committee Members: Magrath, Jane (advisor), Beus, Stephen (committee member), Gates, Edward (committee member), Fast, Barbara (committee member), Enrico, Eugene (committee member), Havlicek, Joseph (committee member).
Subjects/Keywords: Music; Piano
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APA (6th Edition):
Worcester, L. (2015). Allison Nelson: Pianist, Teacher and Editor. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/15477
Chicago Manual of Style (16th Edition):
Worcester, Lynn. “Allison Nelson: Pianist, Teacher and Editor.” 2015. Doctoral Dissertation, University of Oklahoma. Accessed January 21, 2021.
http://hdl.handle.net/11244/15477.
MLA Handbook (7th Edition):
Worcester, Lynn. “Allison Nelson: Pianist, Teacher and Editor.” 2015. Web. 21 Jan 2021.
Vancouver:
Worcester L. Allison Nelson: Pianist, Teacher and Editor. [Internet] [Doctoral dissertation]. University of Oklahoma; 2015. [cited 2021 Jan 21].
Available from: http://hdl.handle.net/11244/15477.
Council of Science Editors:
Worcester L. Allison Nelson: Pianist, Teacher and Editor. [Doctoral Dissertation]. University of Oklahoma; 2015. Available from: http://hdl.handle.net/11244/15477
University of Oklahoma
3.
Zhu, Min.
EEG/MEG Sparse Source Imaging and Its Application in Epilepsy.
Degree: PhD, 2013, University of Oklahoma
URL: http://hdl.handle.net/11244/7905
► This dissertation is a summary of my Ph.D. work on the development of sparse source imaging technologies based on electroencephalography (EEG) and magneto-encephalography (MEG) and…
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▼ This dissertation is a summary of my Ph.D. work on the development of sparse source imaging technologies based on electroencephalography (EEG) and magneto-encephalography (MEG) and their application to noninvasively reconstruct brain activation from external surface measurements. Conventional sparse source imaging (SSI) methods using the ℓ1-norm regularization to enforce sparseness in the original source domain leads to over-focused solutions and causes bias in estimating spatially extended brain sources. I address the over-focused issue in the ℓ1-norm regularization technique framework by exploring sparseness in the transform domains. First, I apply a SSI method that uses the variation transform, i.e. V-SSI, on clinical MEG interictal recordings from partial epilepsy patients. Estimated epileptic sources by V-SSI are validated using clinical pre-surgical evaluation data and surgical outcomes. Second, I implement a novel face-based wavelet transform, which can efficiently compress brain activation signals into sparse representations on a multi-resolution cortical source model, into the SSI technology framework. The proposed wavelet-based SSI (W-SSI) demonstrates a significantly improved ability in inferring both brain source locations and extents as compared with conventional ℓ2-norm regularizations in obtaining EEG/MEG inverse solutions and other SSI technologies. Furthermore, the face-based wavelet also indicates better performance than a previously reported vertex-based wavelet in W-SSI. I evaluate the W-SSI method and conduct the comparison studies using both simulations and real data collected from partial epilepsy patients. Lastly, I further propose the concept of using multiple transforms in the SSI technology framework and investigated a new SSI method by enforcing sparseness in both variation and face-based wavelet domains, termed as VW-SSI. I conduct simulation studies, which demonstrate that VW-SSI has significantly better detection accuracies in both source locations and extents than conventional ℓ2-norm regularizations and other SSI methods, including SSI, V-SSI, and W-SSI. I further validate the VW-SSI method using clinical MEG data from both language and motor experiments collected from epilepsy patients again to localize their important functional brain areas. The results indicate that VW-SSI provides a performance advantage in detecting neural phenomena that have been extremely difficult to recognize by other EEG/MEG inverse solutions. It thus suggests that the sparse source imaging technique is promising to serve as a non-invasive tool in assisting pre-surgical planning for partial epilepsy patients.
Advisors/Committee Members: Ding, Lei (advisor), Ding, Lei (committee member), Zhu, Meijun (committee member), Fagg, Andrew (committee member), Havlicek, Joseph (committee member), Liu, Hong (committee member).
Subjects/Keywords: Engineering; Electronics and Electrical.
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APA (6th Edition):
Zhu, M. (2013). EEG/MEG Sparse Source Imaging and Its Application in Epilepsy. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/7905
Chicago Manual of Style (16th Edition):
Zhu, Min. “EEG/MEG Sparse Source Imaging and Its Application in Epilepsy.” 2013. Doctoral Dissertation, University of Oklahoma. Accessed January 21, 2021.
http://hdl.handle.net/11244/7905.
MLA Handbook (7th Edition):
Zhu, Min. “EEG/MEG Sparse Source Imaging and Its Application in Epilepsy.” 2013. Web. 21 Jan 2021.
Vancouver:
Zhu M. EEG/MEG Sparse Source Imaging and Its Application in Epilepsy. [Internet] [Doctoral dissertation]. University of Oklahoma; 2013. [cited 2021 Jan 21].
Available from: http://hdl.handle.net/11244/7905.
Council of Science Editors:
Zhu M. EEG/MEG Sparse Source Imaging and Its Application in Epilepsy. [Doctoral Dissertation]. University of Oklahoma; 2013. Available from: http://hdl.handle.net/11244/7905
University of Oklahoma
4.
Price, John.
From Bagatelles to Capriolen: Eugen d'Albert and his Later Keyboard Works.
Degree: DMA, 2020, University of Oklahoma
URL: http://hdl.handle.net/11244/325351
► The purpose of this document is to highlight the contributions of pianist and composer Eugen d’Albert (1864–1932) and to function as a practical reference guide…
(more)
▼ The purpose of this document is to highlight the contributions of pianist and composer Eugen d’Albert (1864–1932) and to function as a practical reference guide for pianists and educators wishing to perform and teach his solo piano music. Most scholarship regarding d’Albert is in German, and this study attempts to bring details about d’Albert’s life and works to an English-speaking audience.
Chapter I gives an introduction to Eugen d’Albert and argues for his significance as a pianist and composer. It also includes the purpose of the study, a review of related literature, the need for the study, limitations, and designs and procedures.
Chapter II provides a biographical sketch of Eugen d’Albert focusing particularly on the years 1905–1932 on which there has been very little written in English. Chapter III gives an overview of d’Albert’s published solo piano works which can serve as a reference for pianists and teachers who are interested in his keyboard music. Information in this chapter includes the level of difficulty of each piano work, original publication details, suggested recordings, and basic features of the work such as tempo indications and time signatures. The chapter also includes brief insights into the unique features and challenges of each work.
Chapters IV and V contain in-depth analyses of works from the last two sets of piano pieces that d’Albert composed—the Bagatelles and the Capriolen. These analyses highlight compositional features of each work and give practical suggestions for teaching and performance. Chapter VI consists of a summary of d’Albert’s lasting contributions applicable to current pianists, scholars, and teachers, and offers suggestions for further research.
Advisors/Committee Members: Fast, Barbara (advisor), Lipinski, Igor (committee member), Pederson, Sanna (committee member), Havlicek, Joseph (committee member), Swinkin, Jeffrey (committee member).
Subjects/Keywords: d'Albert; bagatelles; capriolen
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APA (6th Edition):
Price, J. (2020). From Bagatelles to Capriolen: Eugen d'Albert and his Later Keyboard Works. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/325351
Chicago Manual of Style (16th Edition):
Price, John. “From Bagatelles to Capriolen: Eugen d'Albert and his Later Keyboard Works.” 2020. Doctoral Dissertation, University of Oklahoma. Accessed January 21, 2021.
http://hdl.handle.net/11244/325351.
MLA Handbook (7th Edition):
Price, John. “From Bagatelles to Capriolen: Eugen d'Albert and his Later Keyboard Works.” 2020. Web. 21 Jan 2021.
Vancouver:
Price J. From Bagatelles to Capriolen: Eugen d'Albert and his Later Keyboard Works. [Internet] [Doctoral dissertation]. University of Oklahoma; 2020. [cited 2021 Jan 21].
Available from: http://hdl.handle.net/11244/325351.
Council of Science Editors:
Price J. From Bagatelles to Capriolen: Eugen d'Albert and his Later Keyboard Works. [Doctoral Dissertation]. University of Oklahoma; 2020. Available from: http://hdl.handle.net/11244/325351
University of Oklahoma
5.
Williams, Jonathan.
Extended Observation Particle Filter with SVD Template Generation Implemented for GPU.
Degree: PhD, 2018, University of Oklahoma
URL: http://hdl.handle.net/11244/316767
► This work presents a novel template updating strategy based on singular value decomposition (SVD) together with an expansion and extension of previous work combining observations…
(more)
▼ This work presents a novel template updating strategy based on singular value decomposition (SVD) together with an expansion and extension of previous work combining observations across temporally adjacent frames to implement a likelihood function that provides improvement to velocity refinement in a particle filter tracker.
SVD as a novel approach to template generation is used to take advantage of the intuitive notion that the largest singular value corresponds to the highest correlate across template candidates which should more adequately represent the target appearance while rejecting noise and other distractions for use in a correlation based scoring system such as the proposed likelihood function extended across temporally adjacent frames.
The tracker is implemented to accelerate computationally expensive operations by moving them to the GPU for processing.
This proposed expanded likelihood function provides an improvement of 11.2%-12.5% to particle degeneracy as compared to the previous method in the "Augmented State Vector" approach across the composite of videos.
This improvement to particle degeneracy provides for a lower requirement in the number of actual particles necessary for implementation of a particle filter tracker and thus a lower computational requirement while simultaneously providing similar performance.
The proposed SVD template generation provides 23.8% increase in time before track loss when comparing the best case in each category of update-by-score and update-by-SVD across the composite of videos.
While not bench-marked in this work for quantitative comparison, the use of the GPU with Tensorflow-GPU and Python has allowed the large data set needed for analysis to be obtained in days instead of the months that would have been required in my original proof-of-concept work that was targeted solely for CPU in Matlab.
Advisors/Committee Members: Havlicek, Joseph (advisor), Barnes, Ronald (committee member), Liu, Hong (committee member), Ding, Lei (committee member), Radhakrishnan, Sridhar (committee member).
Subjects/Keywords: Engineering, Electronics and Electrical.; Particle Filter; Object Tracking
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APA ·
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APA (6th Edition):
Williams, J. (2018). Extended Observation Particle Filter with SVD Template Generation Implemented for GPU. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/316767
Chicago Manual of Style (16th Edition):
Williams, Jonathan. “Extended Observation Particle Filter with SVD Template Generation Implemented for GPU.” 2018. Doctoral Dissertation, University of Oklahoma. Accessed January 21, 2021.
http://hdl.handle.net/11244/316767.
MLA Handbook (7th Edition):
Williams, Jonathan. “Extended Observation Particle Filter with SVD Template Generation Implemented for GPU.” 2018. Web. 21 Jan 2021.
Vancouver:
Williams J. Extended Observation Particle Filter with SVD Template Generation Implemented for GPU. [Internet] [Doctoral dissertation]. University of Oklahoma; 2018. [cited 2021 Jan 21].
Available from: http://hdl.handle.net/11244/316767.
Council of Science Editors:
Williams J. Extended Observation Particle Filter with SVD Template Generation Implemented for GPU. [Doctoral Dissertation]. University of Oklahoma; 2018. Available from: http://hdl.handle.net/11244/316767
University of Oklahoma
6.
Li, Chuang.
Reconstructing Resting State Networks from EEG.
Degree: PhD, 2018, University of Oklahoma
URL: http://hdl.handle.net/11244/301728
► Resting state networks (RSNs) have been found in human brains during awake resting states. RSNs are composed of spatially distributed regions in which spontaneous activity…
(more)
▼ Resting state networks (RSNs) have been found in human brains during awake resting states. RSNs are composed of spatially distributed regions in which spontaneous activity fluctuations are temporally and dynamically correlated. In contrast to task-related brain activities, RSNs reflect intrinsic functional organizations and rhythms of the human brain when it is not engaged in any task and/or disturbed by external stimuli. To date, RSNs have been widely studied using functional magnetic resonance imaging (fMRI), which has identified various RSNs associated with different brain functions. More recently, due to the advantage of millisecond temporal resolution, both electroencephalography (EEG) and magnetoencephalography (MEG) have been used to investigate RSNs and their electrophysiological underpinnings. Despite these advantages, current RSN studies using EEG/MEG, as compared with those using fMRI, are still at their infant stage in many aspects, such as the quality of spatial pattern reconstructions and the reliability of detections. These limitations require further studies to obtain accurate reconstructions of RSNs directly from EEG/MEG data.
My research aims to develop, optimize, and validate a variety of computational and analytical frameworks to reconstruct and investigate RSNs based on EEG data. In this dissertation, several studies have been conducted as outlined below. Firstly, a comparison in defining RSNs at the sensor space and at the source space was performed to evaluate the accuracy in reconstructing RSN spatial patterns. Results from both simulated and experimental data indicated that the analysis in the source space performed better in reconstructing various features of RSNs. Secondly, a new computational framework for reconstructing RSNs with human EEG data was developed. The proposed framework utilized independent component analysis (ICA) on short-time Fourier transformed inverse source maps imaged from EEG data and statistical correlation analysis to generate cortical tomography of electrophysiological RSNs. The proposed framework was validated using three sets of experimental data. The results indicated that the framework is reliable and efficient in the reconstruction of RSNs. Thirdly, an advanced inverse source imaging (ISI) method was used in the established framework discussed above to improve the spatial estimation of RSNs. The comparison between the new and conventional frameworks suggested that the ISI method significantly improved the accuracy of spatial estimations of RSNs. Fourthly, an ICA-based framework was used to assess RSN alternations under different conditions, which has been the model to identify imaging biomarkers, for example, for diseased patients as compared with healthy control. The results from both simulated and experimental data indicated that the framework could detect RSN alternations due to condition differences. My results further suggest that the framework could provide a finer resolution in detecting RSN changes as a contrast for multi-level (more than 2) condition…
Advisors/Committee Members: Ding, Lei (advisor), Wenger, Michael (committee member), Zheng, Bin (committee member), Bodurka, Jerzy (committee member), Havlicek, Joseph (committee member).
Subjects/Keywords: fMRI; EEG; Resting state networks; independent component analysis
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APA ·
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APA (6th Edition):
Li, C. (2018). Reconstructing Resting State Networks from EEG. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/301728
Chicago Manual of Style (16th Edition):
Li, Chuang. “Reconstructing Resting State Networks from EEG.” 2018. Doctoral Dissertation, University of Oklahoma. Accessed January 21, 2021.
http://hdl.handle.net/11244/301728.
MLA Handbook (7th Edition):
Li, Chuang. “Reconstructing Resting State Networks from EEG.” 2018. Web. 21 Jan 2021.
Vancouver:
Li C. Reconstructing Resting State Networks from EEG. [Internet] [Doctoral dissertation]. University of Oklahoma; 2018. [cited 2021 Jan 21].
Available from: http://hdl.handle.net/11244/301728.
Council of Science Editors:
Li C. Reconstructing Resting State Networks from EEG. [Doctoral Dissertation]. University of Oklahoma; 2018. Available from: http://hdl.handle.net/11244/301728
University of Oklahoma
7.
Ghani, Muhammad.
Optimization of a High-Energy X-Ray Inline Phase Sensitive Imaging System for Diagnosis of Breast Cancer.
Degree: PhD, 2018, University of Oklahoma
URL: http://hdl.handle.net/11244/299328
► Breast cancer screening modalities have received constant research attention that are mainly focused on their abilities to detect cancer at an early stage while reducing…
(more)
▼ Breast cancer screening modalities have received constant research attention that are mainly focused on their abilities to detect cancer at an early stage while reducing the risks of harmful radiation dose delivered to the patient. As a result, numerous advancements have been made over the last two decades which include the introduction of digital mammography (DM) and digital breast tomosynthesis (DBT). Numerous clinical trials have demonstrated the decrease in mortality rates by employing these modalities. Significant research attention remains focused on investigating methods for further improving the detection capabilities and reducing the radiation dose. The conventional x-ray imaging technique relies on the attenuation characteristics of a tissue to produce imaging contrast. However, the similar attenuation characteristics of normal and malignant breast tissue present a challenge in differentiating between them using conventional x-ray imaging. The current technique for providing higher image quality involves the introduction of anti-scatter grids and operating the x-ray tubes at much lower x-ray energies as compared to the other radiography fields, both of which results in an increased radiation dose. The current method for providing higher image quality involves utilizing anti-scatter grids and operating at much lower x-ray energies than other radiography fields, both of which result in an increased radiation dose. Phase sensitive imaging is an emerging technique, which relies not only on attenuation coefficients but also the effects produced by x-ray phase shift coefficients. Within the diagnostic energy range, it has been estimated that the phase shift coefficients of a breast tissue are at least 2-3 orders of magnitude larger than their attenuation coefficients. Thus, this technique holds the potential to increase the x-ray energy and remove the grid without compromising the image quality, which could potentially reduce the patient dose. The inline phase sensitive approach involves the simplest implementation—provided that the imaging system is spatially coherent — as it does not involve the introduction of any optical element between the object and detector. Preclinical studies with the inline phase sensitive imaging technique at the same energy as conventional imaging have indicated the ability to reduce the radiation dose without negatively impacting the diagnostic capabilities. However, there are some existing challenges that have prevented this technique in its clinical implementation. Responding to the challenges, an inline phase sensitive imaging prototype has been developed in the advanced biomedical imaging laboratory. The goal of the research presented in this dissertation comprises a thorough investigation in optimizing a high energy phase sensitive imaging prototype efficiently in terms of its geometric and operating parameters. Once optimized, the imaging performance of this phase sensitive x-ray imaging prototype is going to be compared with the commercial digital mammography and digital…
Advisors/Committee Members: Liu, Hong (advisor), Ahmad, Ramadan (committee member), Zheng, Bin (committee member), Shi, Zhisheng (committee member), Havlicek, Joseph (committee member).
Subjects/Keywords: x-ray phase contrast imaging; phase retrieval; breast cancer imaging; phase sensitive imaging
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APA ·
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Manager
APA (6th Edition):
Ghani, M. (2018). Optimization of a High-Energy X-Ray Inline Phase Sensitive Imaging System for Diagnosis of Breast Cancer. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/299328
Chicago Manual of Style (16th Edition):
Ghani, Muhammad. “Optimization of a High-Energy X-Ray Inline Phase Sensitive Imaging System for Diagnosis of Breast Cancer.” 2018. Doctoral Dissertation, University of Oklahoma. Accessed January 21, 2021.
http://hdl.handle.net/11244/299328.
MLA Handbook (7th Edition):
Ghani, Muhammad. “Optimization of a High-Energy X-Ray Inline Phase Sensitive Imaging System for Diagnosis of Breast Cancer.” 2018. Web. 21 Jan 2021.
Vancouver:
Ghani M. Optimization of a High-Energy X-Ray Inline Phase Sensitive Imaging System for Diagnosis of Breast Cancer. [Internet] [Doctoral dissertation]. University of Oklahoma; 2018. [cited 2021 Jan 21].
Available from: http://hdl.handle.net/11244/299328.
Council of Science Editors:
Ghani M. Optimization of a High-Energy X-Ray Inline Phase Sensitive Imaging System for Diagnosis of Breast Cancer. [Doctoral Dissertation]. University of Oklahoma; 2018. Available from: http://hdl.handle.net/11244/299328
University of Oklahoma
8.
Wang, Yunzhi.
DEVELOPING MEDICAL IMAGE SEGMENTATION AND COMPUTER-AIDED DIAGNOSIS SYSTEMS USING DEEP NEURAL NETWORKS.
Degree: PhD, 2018, University of Oklahoma
URL: http://hdl.handle.net/11244/316299
► Diagnostic medical imaging is an important non-invasive tool in medicine. It provides doctors (i.e., radiologists) with rich diagnostic information in clinical practice. Computer-aided diagnosis (CAD)…
(more)
▼ Diagnostic medical imaging is an important non-invasive tool in medicine. It provides doctors (i.e., radiologists) with rich diagnostic information in clinical practice. Computer-aided diagnosis (CAD) schemes aim to provide a tool to assist the doctors for reading and interpreting medical images. Traditional CAD schemes are based on hand-crafted features and shallow supervised learning algorithms. They are greatly limited by the difficulties of accurate region segmentation and effective feature extraction. In this dissertation, our motivation is to apply deep learning techniques to address these challenges. We comprehensively investigated the feasibilities of applying deep learning technique to develop medical image segmentation and computer-aided diagnosis schemes for different imaging modalities and different tasks. First, we applied a two-step convolutional neural network architecture for selection of abdomen part and segmentation of subtypes of adipose tissue from abdominal CT images. We demonstrated high agreement between the segmentation generated by human and by our proposed deep learning models. Second, we explored to combine transfer learning technique with traditional hand-crafted features to improve the accuracy of breast mass classification from digital mammograms. Our results show that the ensemble of hand-crafted features and transferred features yields improvement of prediction performances. Third, we proposed a 3D fully convolutional network architecture with a novel coarse-to-fine residual module for prostate segmentation from MRI. State-of-art segmentation accuracy was obtained by using this model. We also investigated the feasibilities of applying fully convolutional network for prostate cancer detection based on multi-parametric MRI and obtained promising detection accuracy. Last, we proposed a novel cascaded neural network architecture with post-processing steps for nuclear segmentation from histology images. Superiority of the model was demonstrated by experiments. In summary, these study results demonstrated that deep learning is a very promising technology to help significantly improve efficacy of developing computer-aided diagnosis schemes of medical images and achieve higher performance.
Advisors/Committee Members: Zheng, Bin (advisor), Gruenwald, Le (committee member), Liu, Hong (committee member), Havlicek, Joseph (committee member), Xiang, Liangzhong (committee member).
Subjects/Keywords: Medical Image Analysis; Medical Image Segmentation; Computer-Aided Diagnosis; Deep Learning
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APA ·
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MLA ·
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to Zotero / EndNote / Reference
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APA (6th Edition):
Wang, Y. (2018). DEVELOPING MEDICAL IMAGE SEGMENTATION AND COMPUTER-AIDED DIAGNOSIS SYSTEMS USING DEEP NEURAL NETWORKS. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/316299
Chicago Manual of Style (16th Edition):
Wang, Yunzhi. “DEVELOPING MEDICAL IMAGE SEGMENTATION AND COMPUTER-AIDED DIAGNOSIS SYSTEMS USING DEEP NEURAL NETWORKS.” 2018. Doctoral Dissertation, University of Oklahoma. Accessed January 21, 2021.
http://hdl.handle.net/11244/316299.
MLA Handbook (7th Edition):
Wang, Yunzhi. “DEVELOPING MEDICAL IMAGE SEGMENTATION AND COMPUTER-AIDED DIAGNOSIS SYSTEMS USING DEEP NEURAL NETWORKS.” 2018. Web. 21 Jan 2021.
Vancouver:
Wang Y. DEVELOPING MEDICAL IMAGE SEGMENTATION AND COMPUTER-AIDED DIAGNOSIS SYSTEMS USING DEEP NEURAL NETWORKS. [Internet] [Doctoral dissertation]. University of Oklahoma; 2018. [cited 2021 Jan 21].
Available from: http://hdl.handle.net/11244/316299.
Council of Science Editors:
Wang Y. DEVELOPING MEDICAL IMAGE SEGMENTATION AND COMPUTER-AIDED DIAGNOSIS SYSTEMS USING DEEP NEURAL NETWORKS. [Doctoral Dissertation]. University of Oklahoma; 2018. Available from: http://hdl.handle.net/11244/316299
University of Oklahoma
9.
Pacheco, Elizabeth.
New Simple Representations of Leavitt Path Algebras.
Degree: PhD, 2019, University of Oklahoma
URL: http://hdl.handle.net/11244/323243
► This thesis is about representations of Leavitt Path Algebras (LPAs). Specifically, we first generalize a previously known construction of twisted Chen modules over the Leavitt…
(more)
▼ This thesis is about representations of Leavitt Path Algebras (LPAs). Specifically, we first generalize a previously known construction of twisted Chen modules over the Leavitt Path Algebra of a directed graph. We then give some thought to its extension to other modules, and present new classes of simple Leavitt Path Algebra modules previously unknown. These are modules generated by indicator functions of closed sets of the set of all infinite paths of a directed graph.
Advisors/Committee Members: Ozaydin, Murad (advisor), Forester, Max (committee member), Kujawa, Jon (committee member), Przebinda, Tomasz (committee member), Havlicek, Joseph (committee member).
Subjects/Keywords: Leavitt Path Algebras; Representation theory
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APA (6th Edition):
Pacheco, E. (2019). New Simple Representations of Leavitt Path Algebras. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/323243
Chicago Manual of Style (16th Edition):
Pacheco, Elizabeth. “New Simple Representations of Leavitt Path Algebras.” 2019. Doctoral Dissertation, University of Oklahoma. Accessed January 21, 2021.
http://hdl.handle.net/11244/323243.
MLA Handbook (7th Edition):
Pacheco, Elizabeth. “New Simple Representations of Leavitt Path Algebras.” 2019. Web. 21 Jan 2021.
Vancouver:
Pacheco E. New Simple Representations of Leavitt Path Algebras. [Internet] [Doctoral dissertation]. University of Oklahoma; 2019. [cited 2021 Jan 21].
Available from: http://hdl.handle.net/11244/323243.
Council of Science Editors:
Pacheco E. New Simple Representations of Leavitt Path Algebras. [Doctoral Dissertation]. University of Oklahoma; 2019. Available from: http://hdl.handle.net/11244/323243
University of Oklahoma
10.
Sandmann, David.
Design and Implementation of a Precision Three-Dimensional Binocular Image Tracker for Departing Aircraft.
Degree: PhD, 2013, University of Oklahoma
URL: http://hdl.handle.net/11244/7897
► Abstract This dissertation presents the result of the conceptualization, design and implementation of a new, novel and low cost Binocular Tracking System for departing Aircraft.…
(more)
▼ Abstract
This dissertation presents the result of the conceptualization, design and implementation of a new, novel and low cost Binocular Tracking System for departing Aircraft. This system is a unique design due to the commercial off-the-shelf (COTS) components used and the distinct modular algorithms developed for the implementation of tracking aircraft.
Recent economic pressures and changing Federal Aviation Administration (FAA) regulations have raised serious concern that obstacle clearance requirements are not being met on commercial aircraft departure. Moreover, local airport procedures do not always align with the requirements for Terminal Instrument Procedures (TERPs) established by the FAA. The flight track data collected by this system is being used by the FAA to assess the magnitude of the problem and determine steps to align airport and TERPs procedures, while also mitigating obstacle clearance violations and thus the risk of departing aircraft encountering an obstacle.
Each of the binocular tracking systems uses three cameras. One camera is directed towards the runway, initializes the tracking algorithms, and identifies the type of aircraft. The other two cameras form the binocular tracking system. These dual cameras are aligned in a vergent stereo configuration across the departure path to provide the maximum overlap in the field of view to produce a superior depth resolution.
The modular tracking algorithms allow a large volume of tracking data to be accumulated that provides the FAA information on departing aircraft. This dissertation discusses the details of the binocular tracking system’s conceptualization, design, and implementation, including hardware and software development of the tracking system. This dissertation also includes system setup, data collection, processing and error analysis of the system’s performance in the field.
Advisors/Committee Members: Fagan, John (advisor), Ramseyer, Chris (committee member), Havlicek, Joseph (committee member), Sluss, James (committee member), Tull, Monte (committee member).
Subjects/Keywords: Signal Processing; Binocular Camera System
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APA (6th Edition):
Sandmann, D. (2013). Design and Implementation of a Precision Three-Dimensional Binocular Image Tracker for Departing Aircraft. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/7897
Chicago Manual of Style (16th Edition):
Sandmann, David. “Design and Implementation of a Precision Three-Dimensional Binocular Image Tracker for Departing Aircraft.” 2013. Doctoral Dissertation, University of Oklahoma. Accessed January 21, 2021.
http://hdl.handle.net/11244/7897.
MLA Handbook (7th Edition):
Sandmann, David. “Design and Implementation of a Precision Three-Dimensional Binocular Image Tracker for Departing Aircraft.” 2013. Web. 21 Jan 2021.
Vancouver:
Sandmann D. Design and Implementation of a Precision Three-Dimensional Binocular Image Tracker for Departing Aircraft. [Internet] [Doctoral dissertation]. University of Oklahoma; 2013. [cited 2021 Jan 21].
Available from: http://hdl.handle.net/11244/7897.
Council of Science Editors:
Sandmann D. Design and Implementation of a Precision Three-Dimensional Binocular Image Tracker for Departing Aircraft. [Doctoral Dissertation]. University of Oklahoma; 2013. Available from: http://hdl.handle.net/11244/7897
University of Oklahoma
11.
Carlson, Benjamin.
Phenotype Operators for Improved Performance of Heuristic Encoding Within Genetic Algorithms.
Degree: PhD, 2016, University of Oklahoma
URL: http://hdl.handle.net/11244/34654
► Many approaches to applying Genetic Algorithms (GAs) to Nondeterministic Polynomial time Complete (NPC) problems involve population members encoded directly from the problem solution space. While…
(more)
▼ Many approaches to applying Genetic Algorithms (GAs) to Nondeterministic Polynomial time Complete (NPC) problems involve population members encoded directly from the problem solution space. While this technique enables trivial mapping of the population members to solutions, it can cause complex problems for GA operators as they attempt to direct the evolution of the population toward more promising areas of the solution space. These operators, using inspiration from genetics and evolution in the biological world, combine and manipulate the current population to produce a new population that, it is hoped, will eventually converge toward better solutions to the original problem. However, many problems, especially graph-space problems, cannot be so easily manipulated when GA members consist of direct encodings. In such cases, GA operators must perform awkward transformations to convert the progeny into viable solutions. Here is where heuristic encoding comes into play, in that any combination of genes will produce a viable solution. However, this additional level of abstraction does cause other problems and tends to weaken the guiding effects of traditional GA operators. Thus, I have designed custom GA operators that mitigate these problems by using the solutions produced by the heuristic encoded members to better guide the manipulation when producing the next generation. This dissertation shows that heuristic encoding is an effective technique for the representation of solutions to graph-space problems. It also shows that, when using heuristic encoding, GAs with traditional operators perform well compared to more direct encoding techniques. Finally it shows the combination of heuristic encoding and GA operators designed to work with them increases GA performance and can be competitive with other techniques. I believe that these techniques will also work well for other types of problems for which GAs are commonly applied.
Advisors/Committee Members: Hougen, Dean (advisor), Havlicek, Joseph (committee member), Atiquzzaman, Mohammed (committee member), Cheng, Samuel (committee member), Radhakrishnan, Sridhar (committee member).
Subjects/Keywords: Heuristics; Genetic Algorithms; Evolutionary Computation
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APA (6th Edition):
Carlson, B. (2016). Phenotype Operators for Improved Performance of Heuristic Encoding Within Genetic Algorithms. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/34654
Chicago Manual of Style (16th Edition):
Carlson, Benjamin. “Phenotype Operators for Improved Performance of Heuristic Encoding Within Genetic Algorithms.” 2016. Doctoral Dissertation, University of Oklahoma. Accessed January 21, 2021.
http://hdl.handle.net/11244/34654.
MLA Handbook (7th Edition):
Carlson, Benjamin. “Phenotype Operators for Improved Performance of Heuristic Encoding Within Genetic Algorithms.” 2016. Web. 21 Jan 2021.
Vancouver:
Carlson B. Phenotype Operators for Improved Performance of Heuristic Encoding Within Genetic Algorithms. [Internet] [Doctoral dissertation]. University of Oklahoma; 2016. [cited 2021 Jan 21].
Available from: http://hdl.handle.net/11244/34654.
Council of Science Editors:
Carlson B. Phenotype Operators for Improved Performance of Heuristic Encoding Within Genetic Algorithms. [Doctoral Dissertation]. University of Oklahoma; 2016. Available from: http://hdl.handle.net/11244/34654
University of Oklahoma
12.
Yu, Xining.
Digital Signal Processor Based Real-Time Phased Array Radar Backend System and Optimization Algorithms.
Degree: PhD, 2017, University of Oklahoma
URL: http://hdl.handle.net/11244/52417
► This dissertation presents an implementation of multifunctional large-scale phased array radar based on the scalable DSP platform. The challenge of building large-scale phased array radar…
(more)
▼ This dissertation presents an implementation of multifunctional large-scale phased array radar based on the scalable DSP platform.
The challenge of building large-scale phased array radar backend is how to address the compute-intensive operations and high data throughput requirement in both front-end and backend in real-time. In most of the applications, FPGA or VLSI hardware are typically used to solve those difficulties. However, with the help of the fast development of IC industry, using a parallel set of high-performing programmable chips can be an alternative. We present a hybrid high-performance backend system by using DSP as the core computing device and MTCA as the system frame. Thus, the mapping techniques for the front and backend signal processing algorithm based on DSP are discussed in depth.
Beside high-efficiency computing device, the system architecture would be a major factor influencing the reliability and performance of the backend system. The reliability requires the system must incorporate the redundancy both in hardware and software. In this dissertation, we propose a parallel modular system based on MTCA chassis, which can be reliable, scalable, and fault-tolerant.
Finally, we present an example of high performance phased array radar backend, in which there is the number of 220 DSPs, achieving 7000 GFLOPS calculation from 768 channels. This example shows the potential of using the combination of DSP and MTCA as the computing platform for the future multi-functional large-scale phased array radar.
Advisors/Committee Members: Zhang, Yan (advisor), Lakshmivarahan, Sivaramakrishnan (committee member), Palmer, Robert (committee member), Goodman, Nathan (committee member), Havlicek, Joseph (committee member).
Subjects/Keywords: phased array radar
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APA (6th Edition):
Yu, X. (2017). Digital Signal Processor Based Real-Time Phased Array Radar Backend System and Optimization Algorithms. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/52417
Chicago Manual of Style (16th Edition):
Yu, Xining. “Digital Signal Processor Based Real-Time Phased Array Radar Backend System and Optimization Algorithms.” 2017. Doctoral Dissertation, University of Oklahoma. Accessed January 21, 2021.
http://hdl.handle.net/11244/52417.
MLA Handbook (7th Edition):
Yu, Xining. “Digital Signal Processor Based Real-Time Phased Array Radar Backend System and Optimization Algorithms.” 2017. Web. 21 Jan 2021.
Vancouver:
Yu X. Digital Signal Processor Based Real-Time Phased Array Radar Backend System and Optimization Algorithms. [Internet] [Doctoral dissertation]. University of Oklahoma; 2017. [cited 2021 Jan 21].
Available from: http://hdl.handle.net/11244/52417.
Council of Science Editors:
Yu X. Digital Signal Processor Based Real-Time Phased Array Radar Backend System and Optimization Algorithms. [Doctoral Dissertation]. University of Oklahoma; 2017. Available from: http://hdl.handle.net/11244/52417
University of Oklahoma
13.
Tang, Peng.
Analysis of Backbone Technique: a Hilbert Transform and Discrete Hilbert Transform-based Technique.
Degree: PhD, 2015, University of Oklahoma
URL: http://hdl.handle.net/11244/25615
► This dissertation focuses on understanding and improving the “backbone” technique, a Hilbert-transform based vibration signal processing technique developed by Dr. Michael Feldman started in 1994.…
(more)
▼ This dissertation focuses on understanding and improving the “backbone” technique, a Hilbert-transform based vibration signal processing technique developed by Dr. Michael Feldman started in 1994. The concept of backbone seems straightforward being a mapping between the instantaneous amplitude and instantaneous frequency of vibration signals – mostly, free vibration signals of single-degree-of-freedom (SDOF) systems. Dr. Feldman shows a correlation between backbone pattern and the type of the underlying system nonlinearity. This motivated the utilization of the backbone as a pattern classifier for rapid system identification and damage detection. Nonetheless, unexpected “noisy” backbones – with oscillatory bodies and end(s) of these backbones – were obtained previously instead without an understanding of what caused and how to fix the problem that made the realization of the pattern classifier challenging. The author therefore was set to find out the reason and fix the problem; a theoretical approach would be taken whenever possible for a thorough understanding and remedy in a fundamental manner.
First, we pay attention to the discrete Hilbert transform (DHT) as we deal with real-world vibration signals that are, in general, finite and discrete. The end effect of DHT is investigated, after which a two-step preprocessing procedure is introduced. On one hand, theoretical justifications are provided for the preprocessing procedure. On the other hand, numerical simulation examples are provided to demonstrate the effectiveness in reducing end effect resulted from the procedure.
Unfortunately, even with the improved DHT procedure, we would still obtain “noisy” backbones. We thus contemplate with a couple of carefully designed doublecomponent signals. We show both theoretically and numerically that “noisy” backbones with oscillatory bodies and heads are supposed to occur in this and other multi-component signal. In the exploration of this phenomenon, we propose a concept named after “time index” to capture the interaction of the two mono-components that follow prescribed relations in their instantaneous quantities. By using this concept, we arrive at a signal decomposition method and correct a major integral formula in Dr. Feldman’s work.
The two-step preprocessing procedure for DHT and the time index-based signal decomposition method are then used to extract backbones of a series of Duffing oscillators, whose parameter values are designed so that these models mimic typical nonlinear SDOF systems in structural engineering, the focused application domain in this study. We perform a parametric study on the key parameters in these Duffing oscillators, which confirms the validity of the backbone technique. More importantly, we introduce the concept of instantaneous bandwidth to the backbone technique. By using instantaneous bandwidth, we quantify the relations among displacement, velocity and acceleration backbones in addition to other practical implementation issues.
Last but not least, the improved backbone…
Advisors/Committee Members: Pei, Jin-Song (advisor), Attar, Peter (committee member), Lakshmivarahan, S (committee member), Havlicek, Joseph (committee member), Tang, Choon Yik (committee member).
Subjects/Keywords: Engineering; Electronics and Electrical.
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APA (6th Edition):
Tang, P. (2015). Analysis of Backbone Technique: a Hilbert Transform and Discrete Hilbert Transform-based Technique. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/25615
Chicago Manual of Style (16th Edition):
Tang, Peng. “Analysis of Backbone Technique: a Hilbert Transform and Discrete Hilbert Transform-based Technique.” 2015. Doctoral Dissertation, University of Oklahoma. Accessed January 21, 2021.
http://hdl.handle.net/11244/25615.
MLA Handbook (7th Edition):
Tang, Peng. “Analysis of Backbone Technique: a Hilbert Transform and Discrete Hilbert Transform-based Technique.” 2015. Web. 21 Jan 2021.
Vancouver:
Tang P. Analysis of Backbone Technique: a Hilbert Transform and Discrete Hilbert Transform-based Technique. [Internet] [Doctoral dissertation]. University of Oklahoma; 2015. [cited 2021 Jan 21].
Available from: http://hdl.handle.net/11244/25615.
Council of Science Editors:
Tang P. Analysis of Backbone Technique: a Hilbert Transform and Discrete Hilbert Transform-based Technique. [Doctoral Dissertation]. University of Oklahoma; 2015. Available from: http://hdl.handle.net/11244/25615
University of Oklahoma
14.
Petrich, Erik.
Real-time 3-D Scene Reconstruction.
Degree: PhD, 2016, University of Oklahoma
URL: http://hdl.handle.net/11244/34689
► This dissertation describes a complete system that captures image data from multiple stereoscopic camera pairs and reconstructs a 3-D model of the imaged scene in…
(more)
▼ This dissertation describes a complete system that captures image data from multiple stereoscopic camera pairs and reconstructs a 3-D model of the imaged scene in real-time. To achieve real-time rates, the system is organized in a distributed hierarchical fashion to maximize parallelism and uses algorithms that, in many instances, are suitable for direct implementation in digital hardware rather than software on a general purpose computer. At the lowest level of the hierarchy, image data is acquired from a single camera and processed to compensate for lens distortion and to apply rectification in preparation for stereo image processing. At the next level, data from pairs of cameras is matched to compute a dense stereoscopic disparity map from which 3-D surfaces are inferred and a mesh model is constructed. Finally, at the top level all of the individual 3-D mesh models are merged into a single 3-D model. If desired, the camera image data can be applied to the resultant 3-D model as a texture and the model re-rendered from a virtual camera viewpoint.
Previous 3-D research focuses on individual steps in this process (lens distortion correction, image rectification, stereoscopic disparity computation, and model building). This dissertation considers them instead in the context of a complete end-to-end system. Traditional approaches to model building begin with an unstructured "point cloud" that is neutral with respect to how the data was acquired; this allows model building to be studied independent of data acquisition but may miss some opportunities available in a more tightly coupled interface. By taking a broader view of the problems faced by the entire system, a novel algorithm for 3-D model building has been developed that takes advantage of the organization in the dense stereoscopic disparity map to efficiently build its model. The core of this novel algorithm is a method of evaluating linear regression error to fit a series of line segments to data points in a way that can be efficiently implemented directly in hardware.
Advisors/Committee Members: Sluss, James Jr (advisor), Tull, Monte (advisor), Runolfsson, Thordur (committee member), Havlicek, Joseph (committee member), Özaydin, Murad (committee member).
Subjects/Keywords: Stereoscopic Computer Vision; 3D modeling; Real-time image processing
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APA (6th Edition):
Petrich, E. (2016). Real-time 3-D Scene Reconstruction. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/34689
Chicago Manual of Style (16th Edition):
Petrich, Erik. “Real-time 3-D Scene Reconstruction.” 2016. Doctoral Dissertation, University of Oklahoma. Accessed January 21, 2021.
http://hdl.handle.net/11244/34689.
MLA Handbook (7th Edition):
Petrich, Erik. “Real-time 3-D Scene Reconstruction.” 2016. Web. 21 Jan 2021.
Vancouver:
Petrich E. Real-time 3-D Scene Reconstruction. [Internet] [Doctoral dissertation]. University of Oklahoma; 2016. [cited 2021 Jan 21].
Available from: http://hdl.handle.net/11244/34689.
Council of Science Editors:
Petrich E. Real-time 3-D Scene Reconstruction. [Doctoral Dissertation]. University of Oklahoma; 2016. Available from: http://hdl.handle.net/11244/34689
University of Oklahoma
15.
Vorakitolan, Ekasit.
Video CODEC with adaptive frame rate control for intelligent transportation system applications.
Degree: PhD, 2014, University of Oklahoma
URL: http://hdl.handle.net/11244/10375
► Video cameras are one of the important types of devices in Intelligent Transportation Systems (ITS). The camera images are practical, widely deployable and beneficial for…
(more)
▼ Video cameras are one of the important types of devices in Intelligent Transportation Systems (ITS). The camera images are practical, widely deployable and beneficial for traffic management and congestion control. The advent of image processing has established several applications based on ITS camera images, including vehicle detection, weather monitoring, smart work zones, etc. Unlike digital video entertainment applications, the camera images in ITS applications require high video image quality but usually not a high video frame rate. Traditional block-based video compression standards, which were developed primarily with the video entertainment industry in mind, are dependent on adaptive rate control algorithms to control the video quality and the video frame rate. Modern rate control algorithms range from simple frame skipping to complicated adaptive algorithms based on optimal rate-distortion theory.
In this dissertation, I presented an innovative video frame rate control scheme based on adaptive frame dropping. Video transmission schemes were also discussed and a new strategy to reduce the video traffic on the network was presented. Experimental results in a variety of network scenarios shown that the proposed technique could improve video quality in both the temporal and spatial dimensions, as quantified by standard video metrics (up to 6 percent of PSNR, 5 percent of SSIM, and 10 percent VQM compared to the original video). Another benefit of the proposed technique is that video traffic and network congestion are generally reduced. Both FPGA and embedded Linux implementations are considered for video encoder development.
Advisors/Committee Members: Havlicek, Joseph (advisor), Baldwin, David (committee member), Sluss, James (committee member), Tull, Monte (committee member), Barnes, Ronald (committee member), Atiquzzaman, Mohammed (committee member).
Subjects/Keywords: Engineering; Electronics and Electrical.
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APA (6th Edition):
Vorakitolan, E. (2014). Video CODEC with adaptive frame rate control for intelligent transportation system applications. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/10375
Chicago Manual of Style (16th Edition):
Vorakitolan, Ekasit. “Video CODEC with adaptive frame rate control for intelligent transportation system applications.” 2014. Doctoral Dissertation, University of Oklahoma. Accessed January 21, 2021.
http://hdl.handle.net/11244/10375.
MLA Handbook (7th Edition):
Vorakitolan, Ekasit. “Video CODEC with adaptive frame rate control for intelligent transportation system applications.” 2014. Web. 21 Jan 2021.
Vancouver:
Vorakitolan E. Video CODEC with adaptive frame rate control for intelligent transportation system applications. [Internet] [Doctoral dissertation]. University of Oklahoma; 2014. [cited 2021 Jan 21].
Available from: http://hdl.handle.net/11244/10375.
Council of Science Editors:
Vorakitolan E. Video CODEC with adaptive frame rate control for intelligent transportation system applications. [Doctoral Dissertation]. University of Oklahoma; 2014. Available from: http://hdl.handle.net/11244/10375
University of Oklahoma
16.
Javadi, Milad.
New Implication of Short Circuit Analysis in Assessing Impact of Renewable Energy Resources on System Strength of a Power Grid.
Degree: PhD, 2017, University of Oklahoma
URL: http://hdl.handle.net/11244/51812
► The increasing penetration of renewable resources raised a new challenge in power system planning and operation to maintain system reliability. Several serious operational issues may…
(more)
▼ The increasing penetration of renewable resources raised a new challenge in power system planning and operation to maintain system reliability. Several serious operational issues may take place when significant amount of renewable power is penetrated into a weak power grid. Short circuit ratio with some modifications has been used to study system strength. The existing short circuit ratio calculation measures have some limitations, and do not consider the realistic electrical connections among multiple renewable resources. The system strength evaluation results obtained from using these measures may not accurately reflect the impact of the interactions among multiple renewable resources at different locations on the system strength. To take the realistic electrical connections among multiple renewable resources into consideration of system strength evaluation study, in this dissertation, a novel Site Dependent Short Circuit Ratio (SDSCR) measure is proposed by analyzing the relationship between the system strength and static voltage stability.
The proposed measure evaluates the system strength based on the power grid structural characteristics and considering the amount of renewable power generation at a point of interconnection. It can be used for various studies concerning system strength evaluation, such as identifying weakest combination of points of interconnection. As another application of the proposed measure, an approach is developed to identify the weakest combination of points of interconnection through structural analysis.
In order to improve the system strength evaluation studies using the proposed measure, this dissertation also proposed an algorithm for more accurate estimation of wind power generation, and an approach for estimation of solar PV power generation drops.
An algorithm for more accurate estimation of wind power generation: an accurate estimation of power curves is essential for assessing the actual output characteristics of a wind farm. The power curve can be estimated using the measured power output data comprising wind power generation and wind speed. However, these measured data are generally ill-distributed due to significant number of outliers, which impose a serious bias challenging estimation of power curves. In this dissertation, an intelligent algorithm is proposed for estimating power curves using the measured data while minimizing modeling and bias errors caused by outliners in the data. Particularly, the proposed algorithm is designed based on statistical analysis software (SAS) package in order to facilitate the analysis of a big dataset.
An approach for estimation of solar PV power generation drops: it becomes more and more clear that dramatic variation of solar power generation will impact the grid reliability and voltage stability. Particularly, in a high penetration scenario, estimation of solar power generation drops is very important for reliability management and operation. In this dissertation, the impact of clouds distribution on solar irradiance, and thus the…
Advisors/Committee Members: Jiang, John N. (advisor), Havlicek, Joseph (committee member), Tang, Choon Yik (committee member), Thulasiraman, Krishnaiya (committee member), Trafalis, Theodore (committee member).
Subjects/Keywords: Renewable energy; Power system; System strength
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APA (6th Edition):
Javadi, M. (2017). New Implication of Short Circuit Analysis in Assessing Impact of Renewable Energy Resources on System Strength of a Power Grid. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/51812
Chicago Manual of Style (16th Edition):
Javadi, Milad. “New Implication of Short Circuit Analysis in Assessing Impact of Renewable Energy Resources on System Strength of a Power Grid.” 2017. Doctoral Dissertation, University of Oklahoma. Accessed January 21, 2021.
http://hdl.handle.net/11244/51812.
MLA Handbook (7th Edition):
Javadi, Milad. “New Implication of Short Circuit Analysis in Assessing Impact of Renewable Energy Resources on System Strength of a Power Grid.” 2017. Web. 21 Jan 2021.
Vancouver:
Javadi M. New Implication of Short Circuit Analysis in Assessing Impact of Renewable Energy Resources on System Strength of a Power Grid. [Internet] [Doctoral dissertation]. University of Oklahoma; 2017. [cited 2021 Jan 21].
Available from: http://hdl.handle.net/11244/51812.
Council of Science Editors:
Javadi M. New Implication of Short Circuit Analysis in Assessing Impact of Renewable Energy Resources on System Strength of a Power Grid. [Doctoral Dissertation]. University of Oklahoma; 2017. Available from: http://hdl.handle.net/11244/51812
University of Oklahoma
17.
Edwards, Craig.
THE ENUMERATION PROBLEM ON NUMERICAL MONOIDS.
Degree: PhD, 2019, University of Oklahoma
URL: http://hdl.handle.net/11244/319674
► Even though the problem of counting points with integer coordinates on a (rational) polytope has connections to sophisticated mathematical topics like Algebraic K-Theory, Fourier-Dedekind Sums,…
(more)
▼ Even though the problem of counting points with integer coordinates on a (rational) polytope has connections to sophisticated mathematical topics like Algebraic K-Theory, Fourier-Dedekind Sums, Heegard-Floer Homology, Symplectic Geometry and more, the basic (open) problem(s) are easy to describe. For example the following has been an open problem for over 60 years: If a, b and c are coprime positive integers how many ways are there of obtaining a given natural number n as a sum of (nonnegative integer) multiples of a, b and c? The problem is giving an effective computable formula for this number f(n). We are able to find this formula for a particular case. Furthermore, we use a variety of techniques to find the secondary asymptotic in any case, along with an effective computable formula for the McNugget Monoid and a couple of infinite families.
Advisors/Committee Members: Ozaydin, Murad (advisor), Schmidt, Ralf (committee member), Forester, Max (committee member), Martin, Kimball (committee member), Havlicek, Joseph (committee member).
Subjects/Keywords: Combinatorics
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APA (6th Edition):
Edwards, C. (2019). THE ENUMERATION PROBLEM ON NUMERICAL MONOIDS. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/319674
Chicago Manual of Style (16th Edition):
Edwards, Craig. “THE ENUMERATION PROBLEM ON NUMERICAL MONOIDS.” 2019. Doctoral Dissertation, University of Oklahoma. Accessed January 21, 2021.
http://hdl.handle.net/11244/319674.
MLA Handbook (7th Edition):
Edwards, Craig. “THE ENUMERATION PROBLEM ON NUMERICAL MONOIDS.” 2019. Web. 21 Jan 2021.
Vancouver:
Edwards C. THE ENUMERATION PROBLEM ON NUMERICAL MONOIDS. [Internet] [Doctoral dissertation]. University of Oklahoma; 2019. [cited 2021 Jan 21].
Available from: http://hdl.handle.net/11244/319674.
Council of Science Editors:
Edwards C. THE ENUMERATION PROBLEM ON NUMERICAL MONOIDS. [Doctoral Dissertation]. University of Oklahoma; 2019. Available from: http://hdl.handle.net/11244/319674
University of Oklahoma
18.
Campbell, Patrick.
High-Fidelity and Perfect Reconstruction Techniques for Synthesizing Modulation Domain Filtered Images.
Degree: PhD, 2016, University of Oklahoma
URL: http://hdl.handle.net/11244/47112
► Biomimetic processing inspired by biological vision systems has long been a goal of the image processing research community, both to further understanding of what it…
(more)
▼ Biomimetic processing inspired by biological vision systems has long been a goal of the image processing research community, both to further understanding of what it means to perceive and interpret image content and to facilitate advancements in applications ranging from processing large volumes of image data to engineering artificial intelligence systems. In recent years, the AM-FM transform has emerged as a useful tool that enables processing that is intuitive to human observers but would be difficult or impossible to achieve using traditional linear processing methods.
The transform makes use of the multicomponent AM-FM image model, which represents imagery in terms of amplitude modulations, representative of local image contrast, and frequency modulations, representative of local spacing and orientation of lines and patterns. The model defines image components using an array of narrowband filterbank channels that is designed to be similar to the spatial frequency channel decomposition that occurs in the human visual system. The AM-FM transform entails the computation of modulation functions for all components of an image and the subsequent exact recovery of the image from those modulation functions. The process of modifying the modulation functions to alter visual information in a predictable way and then recovering the modified image through the AM-FM transform is known as modulation domain filtering. Past work in modulation domain filtering has produced dramatic results, but has faced challenges due to phase wrapping inherent in the transform computations and due to unknown integration constants associated with modified frequency content. The approaches developed to overcome these challenges have led to a loss of both stability and intuitive simplicity within the AM-FM model.
In this dissertation, I have made significant advancements in the underlying processes that comprise the AM-FM transform. I have developed a new phase unwrapping method that increases the stability of the AM-FM transform, allowing higher quality modulation domain filtering results. I have designed new reconstruction techniques that allow for successful recovery from modified frequency modulations. These developments have allowed the design of modulation domain filters that, for the first time, do not require any departure from the simple and intuitive nature of the basic AM-FM model. Using the new modulation domain filters, I have produced new and striking results that achieve a variety of image processing tasks which are motivated by biological visual perception. These results represent a significant advancement relative to the state of the art and are a foundation from which future advancements in the field may be attained.
Advisors/Committee Members: Havlicek, Joseph (advisor), Barnes, Ronald (committee member), Tull, Monte (committee member), Atiquzzaman, Mohammed (committee member), Przebinda, Tomasz (committee member).
Subjects/Keywords: Modulation Domain Image Filtering
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APA (6th Edition):
Campbell, P. (2016). High-Fidelity and Perfect Reconstruction Techniques for Synthesizing Modulation Domain Filtered Images. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/47112
Chicago Manual of Style (16th Edition):
Campbell, Patrick. “High-Fidelity and Perfect Reconstruction Techniques for Synthesizing Modulation Domain Filtered Images.” 2016. Doctoral Dissertation, University of Oklahoma. Accessed January 21, 2021.
http://hdl.handle.net/11244/47112.
MLA Handbook (7th Edition):
Campbell, Patrick. “High-Fidelity and Perfect Reconstruction Techniques for Synthesizing Modulation Domain Filtered Images.” 2016. Web. 21 Jan 2021.
Vancouver:
Campbell P. High-Fidelity and Perfect Reconstruction Techniques for Synthesizing Modulation Domain Filtered Images. [Internet] [Doctoral dissertation]. University of Oklahoma; 2016. [cited 2021 Jan 21].
Available from: http://hdl.handle.net/11244/47112.
Council of Science Editors:
Campbell P. High-Fidelity and Perfect Reconstruction Techniques for Synthesizing Modulation Domain Filtered Images. [Doctoral Dissertation]. University of Oklahoma; 2016. Available from: http://hdl.handle.net/11244/47112
University of Oklahoma
19.
Henckel, Kristina.
Pianistic Analysis of Bedřich Smetana's Piano Cycle Dreams, Six Characteristic Pieces for Piano.
Degree: DMA, 2016, University of Oklahoma
URL: http://hdl.handle.net/11244/45541
► This document provides a study resource for teachers and performers concerning Bedřich Smetana’s piano cycle Dreams, a musical work that played a key role in…
(more)
▼ This document provides a study resource for teachers and performers concerning Bedřich Smetana’s piano cycle Dreams, a musical work that played a key role in the development and recognition of a distinctly Czech style. The Dreams cycle consists of six pieces that are part of the standard repertoire for Czech pianists. Outside of the Czech Republic, however, these pieces attract very little attention despite favorable comparison with similar works by Smetana’s contemporaries, Liszt, Schumann and Chopin.
The Introduction presents a review of related literature, including relevant historical and biographical studies, dissertations, journal articles and key recordings of Smetana’s compositional output. A survey of Czech composers preceding Smetana who wrote piano music and a discussion of Smetana’s historical contributions to the development of a distinctly Czech musical style are provided. Also present is a discussion of the historical, musical, and compositional factors that influenced Smetana’s compositional style as expressed in Dreams, including the influence of his idols, Liszt, Schumann, and Chopin. The major portion of the document presents a formal analysis guided by the summaries by Czech music scholar Mirko Očadlík. In addition, a comparison of Smetana’s compositional techniques with those used by Liszt, Schumann, or Chopin and practice suggestions and a performer’s analysis are included. These practice suggestions are based on the writers’ pianistic experience and also consider interpretational differences between the Urtext edition of Dreams and the edition published by Jan Novotný, a Czech pianist and distinguished pedagogue.
The study concludes with a summary of important issues, including the key structure and pianistic and performance aspects of each piece in the cycle Dreams. Also included are suggestions for ways that the subject matter may be extended and explored, including suggestions for more extensive pedagogical use of Smetana’s piano compositions. Though often overlooked, the piano cycle Dreams makes a critical contribution to the Czech piano repertory.
Advisors/Committee Members: Magrath, Jane (advisor), Fast, Barbara (committee member), Lamb, Marvin (committee member), Lee, Michael (committee member), Havlicek, Joseph (committee member).
Subjects/Keywords: Smetana; Pianistic Analysis; Dreams
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APA (6th Edition):
Henckel, K. (2016). Pianistic Analysis of Bedřich Smetana's Piano Cycle Dreams, Six Characteristic Pieces for Piano. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/45541
Chicago Manual of Style (16th Edition):
Henckel, Kristina. “Pianistic Analysis of Bedřich Smetana's Piano Cycle Dreams, Six Characteristic Pieces for Piano.” 2016. Doctoral Dissertation, University of Oklahoma. Accessed January 21, 2021.
http://hdl.handle.net/11244/45541.
MLA Handbook (7th Edition):
Henckel, Kristina. “Pianistic Analysis of Bedřich Smetana's Piano Cycle Dreams, Six Characteristic Pieces for Piano.” 2016. Web. 21 Jan 2021.
Vancouver:
Henckel K. Pianistic Analysis of Bedřich Smetana's Piano Cycle Dreams, Six Characteristic Pieces for Piano. [Internet] [Doctoral dissertation]. University of Oklahoma; 2016. [cited 2021 Jan 21].
Available from: http://hdl.handle.net/11244/45541.
Council of Science Editors:
Henckel K. Pianistic Analysis of Bedřich Smetana's Piano Cycle Dreams, Six Characteristic Pieces for Piano. [Doctoral Dissertation]. University of Oklahoma; 2016. Available from: http://hdl.handle.net/11244/45541
University of Oklahoma
20.
Islam, Shajid.
Probe-based, quasi-near-field phased array calibration.
Degree: PhD, 2020, University of Oklahoma
URL: http://hdl.handle.net/11244/326668
► Phased array technology provides remarkable scanning flexibility and spatial search capability for the multifunction radar system, airborne radar system, and many other applications. Recent years…
(more)
▼ Phased array technology provides remarkable scanning flexibility and spatial search capability for the multifunction radar system, airborne radar system, and many other applications. Recent years have seen a noticeable surge towards low cost, small phased array antenna technology in a varied range of sectors due to its diverse applicability. However, lowering the cost exposed phased array antenna to various errors, among which excitation errors, such as incorrect phase and amplitude, is one of the major concerns. Excitation errors affect essential performance parameters such as side-lobe level, antenna gain, active impedance, and beam-forming quality. It is crucial to quantify and compensate for the errors associated with each antenna element's phase and amplitude to ensure the phased array antenna's desired performance. The process of this compensation is widely known as the calibration of a phased array. The diverse application and increased use of a low cost small phased array system make the front end calibration procedure very challenging. This challenge is two-fold. The calibration should be done accurately and quickly as possible. This dissertation focuses on developing a novel technique of phased array calibration using a fixed probe in the quasi-near-field of the antenna. The objective is to significantly reduce calibration time and associated cost without compromising the calibration quality for initial and in-situ calibration. After the development of a successful mathematical framework, a detailed simulation is conducted to analyze the system. The proposed technique was finally validated using an active electronically scanned array inside a custom-made compact range and near field range.
Advisors/Committee Members: Fulton, Caleb (advisor), Yeary, Mark (committee member), Havlicek, Joseph (committee member), Sigmarsson, Hjalti (committee member), Chavez-Dominguez, Javier (committee member).
Subjects/Keywords: Phased Array Calibration; Fast Calibration Technique; Quasi-Near-Field; Mutual Coupling
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APA (6th Edition):
Islam, S. (2020). Probe-based, quasi-near-field phased array calibration. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/326668
Chicago Manual of Style (16th Edition):
Islam, Shajid. “Probe-based, quasi-near-field phased array calibration.” 2020. Doctoral Dissertation, University of Oklahoma. Accessed January 21, 2021.
http://hdl.handle.net/11244/326668.
MLA Handbook (7th Edition):
Islam, Shajid. “Probe-based, quasi-near-field phased array calibration.” 2020. Web. 21 Jan 2021.
Vancouver:
Islam S. Probe-based, quasi-near-field phased array calibration. [Internet] [Doctoral dissertation]. University of Oklahoma; 2020. [cited 2021 Jan 21].
Available from: http://hdl.handle.net/11244/326668.
Council of Science Editors:
Islam S. Probe-based, quasi-near-field phased array calibration. [Doctoral Dissertation]. University of Oklahoma; 2020. Available from: http://hdl.handle.net/11244/326668
University of Oklahoma
21.
Hosseini, Seyed Hossein.
REVEALING ADDITIONAL INFORMATION ABOUT ELECTRICITY MARKET UNDERLYING POWER SYSTEM USING POWER SYSTEM PRINCIPLES AND PUBLISHED MARKET RESULTS.
Degree: PhD, 2014, University of Oklahoma
URL: http://hdl.handle.net/11244/13388
► In this dissertation we provide a novel estimation framework designed and structured on duality theory for estimation of some key parameters in electricity markets. Specifically,…
(more)
▼ In this dissertation we provide a novel estimation framework designed and structured on duality theory for estimation of some key parameters in electricity markets. Specifically, the framework uses financial transmission right (FTR) auction outcomes such as clearing prices and quantities to estimate implicit parameters of the underlying optimization problem such as power transfer distribution factors (PTDF) without the need to know the auction bid/offers. The application of the proposed framework is not limited to electricity markets and can be used in any optimization problem with similar characteristics. We show successful estimation of parameters by simulating the proposed method on small systems and on a large power system extracted from actual US eastern interconnection network model. We also provide discussion on special estimation cases and proposed methods to address them, and future works to improve the algorithm and applicability of the framework.
Advisors/Committee Members: Jiang, John N. (advisor), Fernando, Chitru (committee member), Havlicek, Joseph (committee member), Runolfsson, Thordur (committee member), Sigmarsson, Hjalti (committee member), Jiang, John N. (committee member).
Subjects/Keywords: Engineering; Electronics and Electrical.
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APA (6th Edition):
Hosseini, S. H. (2014). REVEALING ADDITIONAL INFORMATION ABOUT ELECTRICITY MARKET UNDERLYING POWER SYSTEM USING POWER SYSTEM PRINCIPLES AND PUBLISHED MARKET RESULTS. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/13388
Chicago Manual of Style (16th Edition):
Hosseini, Seyed Hossein. “REVEALING ADDITIONAL INFORMATION ABOUT ELECTRICITY MARKET UNDERLYING POWER SYSTEM USING POWER SYSTEM PRINCIPLES AND PUBLISHED MARKET RESULTS.” 2014. Doctoral Dissertation, University of Oklahoma. Accessed January 21, 2021.
http://hdl.handle.net/11244/13388.
MLA Handbook (7th Edition):
Hosseini, Seyed Hossein. “REVEALING ADDITIONAL INFORMATION ABOUT ELECTRICITY MARKET UNDERLYING POWER SYSTEM USING POWER SYSTEM PRINCIPLES AND PUBLISHED MARKET RESULTS.” 2014. Web. 21 Jan 2021.
Vancouver:
Hosseini SH. REVEALING ADDITIONAL INFORMATION ABOUT ELECTRICITY MARKET UNDERLYING POWER SYSTEM USING POWER SYSTEM PRINCIPLES AND PUBLISHED MARKET RESULTS. [Internet] [Doctoral dissertation]. University of Oklahoma; 2014. [cited 2021 Jan 21].
Available from: http://hdl.handle.net/11244/13388.
Council of Science Editors:
Hosseini SH. REVEALING ADDITIONAL INFORMATION ABOUT ELECTRICITY MARKET UNDERLYING POWER SYSTEM USING POWER SYSTEM PRINCIPLES AND PUBLISHED MARKET RESULTS. [Doctoral Dissertation]. University of Oklahoma; 2014. Available from: http://hdl.handle.net/11244/13388
University of Oklahoma
22.
Tay, Peter C.
An optimally well-localized multi-channel parallel perfect reconstruction filter bank.
Degree: PhD, School of Electrical and Computer Engineering, 2003, University of Oklahoma
URL: http://hdl.handle.net/11244/648
► This dissertation defines a measure of uncertainty for finite length discrete-time signals. Using this uncertainty measure, a relationship analogous to the well known continuous-time Heisenberg-Weyl…
(more)
▼ This dissertation defines a measure of uncertainty for finite length discrete-time signals. Using this uncertainty measure, a relationship analogous to the well known continuous-time Heisenberg-Weyl inequality is developed. This uncertainty measure is applied to quantify the joint discrete time-discrete frequency localization of finite impulse response filters, which are used in a quadrature mirror filter bank (QMF). A formulation of a biorthogonal QMF where the low pass analysis filter minimizes the newly defined measure of uncertainty is presented. The search algorithm used in the design of the length-N linear phase low pass analysis FIR filter is given for N = 6 and 8. In each case, the other three filters, which constitute a perfect reconstruction QMF, are determined by adapting a method due to Vetterli and Le Gall. From a set of well known QMFs comprised of length six filters, L-channel perfect reconstruction parallel filter banks (PRPFB) are constructed. The Noble identities are used to show that the L-channel PRPFB is equivalent to a L - 1 level discrete wavelet filter bank. Several five-channel PRPFBs are implemented. A separable implementation of a five-channel, one-dimensional filter bank produces twenty-five channel, two-dimensional filter bank. Each non-low pass, two-dimensional filter is decomposed in a novel, nonseparable way to obtain equivalent channel filters that possess orientation selectivity. This results in a forty-one channel, two-dimensional, orientation selective, PRPFB.
Advisors/Committee Members: Havlicek, Joseph P., (advisor).
Subjects/Keywords: Discrete-time systems.; Engineering, System Science.; Gaussian quadrature formulas.; Heisenberg uncertainty principle.; Engineering, Electronics and Electrical.; Biorthogonal systems.
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APA (6th Edition):
Tay, P. C. (2003). An optimally well-localized multi-channel parallel perfect reconstruction filter bank. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/648
Chicago Manual of Style (16th Edition):
Tay, Peter C. “An optimally well-localized multi-channel parallel perfect reconstruction filter bank.” 2003. Doctoral Dissertation, University of Oklahoma. Accessed January 21, 2021.
http://hdl.handle.net/11244/648.
MLA Handbook (7th Edition):
Tay, Peter C. “An optimally well-localized multi-channel parallel perfect reconstruction filter bank.” 2003. Web. 21 Jan 2021.
Vancouver:
Tay PC. An optimally well-localized multi-channel parallel perfect reconstruction filter bank. [Internet] [Doctoral dissertation]. University of Oklahoma; 2003. [cited 2021 Jan 21].
Available from: http://hdl.handle.net/11244/648.
Council of Science Editors:
Tay PC. An optimally well-localized multi-channel parallel perfect reconstruction filter bank. [Doctoral Dissertation]. University of Oklahoma; 2003. Available from: http://hdl.handle.net/11244/648
University of Oklahoma
23.
Mamuya, Ngao.
Biometric Classification with Factor Analysis.
Degree: PhD, 2010, University of Oklahoma
URL: http://hdl.handle.net/11244/318719
► this work, we will work on classifying the facial expressions of a group of Japanese women. Given all seven universal expressions per subject (two or…
(more)
▼ this work, we will work on classifying the facial expressions of a group of Japanese women. Given all seven universal expressions per subject (two or three of each expression), we will use factor analysis to group each subject according to their expression. Furthermore, given an individual with a particular expression, we will use factor analysis as a biometric measure in the determination of the particular expression exhibited.
Advisors/Committee Members: Havlicek, Joseph (advisor).
Subjects/Keywords: Factor analysis; Biometric identification; Human face recognition (Computer science)
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APA (6th Edition):
Mamuya, N. (2010). Biometric Classification with Factor Analysis. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/318719
Chicago Manual of Style (16th Edition):
Mamuya, Ngao. “Biometric Classification with Factor Analysis.” 2010. Doctoral Dissertation, University of Oklahoma. Accessed January 21, 2021.
http://hdl.handle.net/11244/318719.
MLA Handbook (7th Edition):
Mamuya, Ngao. “Biometric Classification with Factor Analysis.” 2010. Web. 21 Jan 2021.
Vancouver:
Mamuya N. Biometric Classification with Factor Analysis. [Internet] [Doctoral dissertation]. University of Oklahoma; 2010. [cited 2021 Jan 21].
Available from: http://hdl.handle.net/11244/318719.
Council of Science Editors:
Mamuya N. Biometric Classification with Factor Analysis. [Doctoral Dissertation]. University of Oklahoma; 2010. Available from: http://hdl.handle.net/11244/318719
University of Oklahoma
24.
Nguyen, Chuong T.
Modulation Domain Image Processing.
Degree: PhD, 2012, University of Oklahoma
URL: http://hdl.handle.net/11244/318933
representation results developed in this dissertation.
Advisors/Committee Members: Havlicek, Joseph P (advisor).Subjects/Keywords: Image processing; Radio frequency modulation; Amplitude modulation
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APA (6th Edition):
Nguyen, C. T. (2012). Modulation Domain Image Processing. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/318933
Chicago Manual of Style (16th Edition):
Nguyen, Chuong T. “Modulation Domain Image Processing.” 2012. Doctoral Dissertation, University of Oklahoma. Accessed January 21, 2021.
http://hdl.handle.net/11244/318933.
MLA Handbook (7th Edition):
Nguyen, Chuong T. “Modulation Domain Image Processing.” 2012. Web. 21 Jan 2021.
Vancouver:
Nguyen CT. Modulation Domain Image Processing. [Internet] [Doctoral dissertation]. University of Oklahoma; 2012. [cited 2021 Jan 21].
Available from: http://hdl.handle.net/11244/318933.
Council of Science Editors:
Nguyen CT. Modulation Domain Image Processing. [Doctoral Dissertation]. University of Oklahoma; 2012. Available from: http://hdl.handle.net/11244/318933
25.
Kurdzo, James.
Pulse Compression Waveforms and Applications for Weather Radar.
Degree: PhD, 2015, University of Oklahoma
URL: http://hdl.handle.net/11244/23250
► The progression of phased array weather observations, research, and planning over the past decade has led to significant advances in development efforts for future weather…
(more)
▼ The progression of phased array weather observations, research, and planning over the past decade has led to significant advances in development efforts for future weather radar technologies. However, numerous challenges still remain for large-scale deployment. The eventual goal for phased array weather radar technology includes the use of active arrays, where each element would have its own transmit/receive module. This would lead to significant advantages, however, such a design must be capable of utilizing low-power, solid-state transmitters at each element in order to keep costs down. In order to provide acceptable sensitivity, as well as the range resolution needed for weather observations, pulse compression strategies are required. A robust optimization technique for pulse compression waveforms with minimalistic windowing using a genetic algorithm is presented. A continuous nonlinear frequency modulated waveform which takes into account transmitter distortion is shown, both in theory and in practical use. Measured pulses and weather observations from the Advanced Radar Research Center's dual-polarized PX-1000 transportable radar, which utilizes dual 100-W solid-state transmitters, are presented. Development of waveform groups for increased isolation is presented as a proxy for multi-sector array design and spectral savings, and waveforms for convective storm observations and clear air observations during the PECAN project are discussed. A detailed analysis of the 20 May 2013 Moore,
Oklahoma tornado is presented as an example of research-grade quality pulse compression weather data, including the characterization of rear flank gust front surges co-located with debris ejections. A failed occlusion hypothesis is discussed as a possible reason for a looping pattern at the Moore Medical Center. Numerous examples from the Atmospheric Imaging Radar (AIR) convective field program are also presented as examples of pulse compression capabilities. With a 20-deg vertical fan beam, the AIR is capable of volumetrically scanning a storm of interest in under 10 seconds at 1-deg by 1-deg by 30-m spatial resolution, but requires pulse compression for adequate sensitivity due to the wide transmit beam. This technique is used to analyze the tilting characteristics of two major spring 2015 tornadoes as well as other cases since 2012.
Advisors/Committee Members: Palmer, Robert (advisor), Cheong, Boon Leng (committee member), Havlicek, Joseph (committee member), Bluestein, Howard (committee member), Zhang, Guifu (committee member).
Subjects/Keywords: Physics, Atmospheric Science.; Remote Sensing.; Engineering, Electronics and Electrical.
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APA (6th Edition):
Kurdzo, J. (2015). Pulse Compression Waveforms and Applications for Weather Radar. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/23250
Chicago Manual of Style (16th Edition):
Kurdzo, James. “Pulse Compression Waveforms and Applications for Weather Radar.” 2015. Doctoral Dissertation, University of Oklahoma. Accessed January 21, 2021.
http://hdl.handle.net/11244/23250.
MLA Handbook (7th Edition):
Kurdzo, James. “Pulse Compression Waveforms and Applications for Weather Radar.” 2015. Web. 21 Jan 2021.
Vancouver:
Kurdzo J. Pulse Compression Waveforms and Applications for Weather Radar. [Internet] [Doctoral dissertation]. University of Oklahoma; 2015. [cited 2021 Jan 21].
Available from: http://hdl.handle.net/11244/23250.
Council of Science Editors:
Kurdzo J. Pulse Compression Waveforms and Applications for Weather Radar. [Doctoral Dissertation]. University of Oklahoma; 2015. Available from: http://hdl.handle.net/11244/23250
26.
Aghaei, Faranak.
DEVELOPING NOVEL COMPUTER-AIDED DETECTION AND DIAGNOSIS SYSTEMS OF MEDICAL IMAGES.
Degree: PhD, 2019, University of Oklahoma
URL: http://hdl.handle.net/11244/322089
► Reading medical images to detect and diagnose diseases is often difficult and has large inter-reader variability. To address this issue, developing computer-aided detection and diagnosis…
(more)
▼ Reading medical images to detect and diagnose diseases is often difficult and has large inter-reader variability. To address this issue, developing computer-aided detection and diagnosis (CAD) schemes or systems of medical images has attracted broad research interest in the last several decades. Despite great effort and significant progress in previous studies, only limited CAD schemes have been used in clinical practice. Thus, developing new CAD schemes is still a hot research topic in medical imaging informatics field. In this dissertation, I investigate the feasibility of developing several new innovative CAD schemes for different application purposes. First, to predict breast tumor response to neoadjuvant chemotherapy and reduce unnecessary aggressive surgery, I developed two CAD schemes of breast magnetic resonance imaging (MRI) to generate quantitative image markers based on quantitative analysis of global kinetic features. Using the image marker computed from breast MRI acquired pre-chemotherapy, CAD scheme enables to predict radiographic complete response (CR) of breast tumors to neoadjuvant chemotherapy, while using the imaging marker based on the fusion of kinetic and texture features extracted from breast MRI performed after neoadjuvant chemotherapy, CAD scheme can better predict the pathologic complete response (pCR) of the patients. Second, to more accurately predict prognosis of stroke patients, quantifying brain hemorrhage and ventricular cerebrospinal fluid depicting on brain CT images can play an important role. For this purpose, I developed a new interactive CAD tool to segment hemorrhage regions and extract radiological imaging marker to quantitatively determine the severity of aneurysmal subarachnoid hemorrhage at presentation and correlate the estimation with various homeostatic/metabolic derangements and predict clinical outcome. Third, to improve the efficiency of primary antibody screening processes in new cancer drug development, I developed a CAD scheme to automatically identify the non-negative tissue slides, which indicate reactive antibodies in digital pathology images. Last, to improve operation efficiency and reliability of storing digital pathology image data, I developed a CAD scheme using optical character recognition algorithm to automatically extract metadata from tissue slide label images and reduce manual entry for slide tracking and archiving in the tissue pathology laboratories.
In summary, in these studies, we developed and tested several innovative approaches to identify quantitative imaging markers with high discriminatory power. In all CAD schemes, the graphic user interface-based visual aid tools were also developed and implemented. Study results demonstrated feasibility of applying CAD technology to several new application fields, which has potential to assist radiologists, oncologists and pathologists improving accuracy and consistency in disease diagnosis and prognosis assessment of using medical image.
Advisors/Committee Members: Zheng, Bin (advisor), Liu, Hong (committee member), Xiang, Liangzhong (committee member), Przebinda, Tomasz (committee member), Yuan, Han (committee member), Havlicek, Joseph (committee member).
Subjects/Keywords: Computer-aided detection; Segmentation; Image Processing; Medical Imaging
…studies in the last several years in University of Oklahoma and Roche Company.
In this…
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Export
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APA (6th Edition):
Aghaei, F. (2019). DEVELOPING NOVEL COMPUTER-AIDED DETECTION AND DIAGNOSIS SYSTEMS OF MEDICAL IMAGES. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/322089
Chicago Manual of Style (16th Edition):
Aghaei, Faranak. “DEVELOPING NOVEL COMPUTER-AIDED DETECTION AND DIAGNOSIS SYSTEMS OF MEDICAL IMAGES.” 2019. Doctoral Dissertation, University of Oklahoma. Accessed January 21, 2021.
http://hdl.handle.net/11244/322089.
MLA Handbook (7th Edition):
Aghaei, Faranak. “DEVELOPING NOVEL COMPUTER-AIDED DETECTION AND DIAGNOSIS SYSTEMS OF MEDICAL IMAGES.” 2019. Web. 21 Jan 2021.
Vancouver:
Aghaei F. DEVELOPING NOVEL COMPUTER-AIDED DETECTION AND DIAGNOSIS SYSTEMS OF MEDICAL IMAGES. [Internet] [Doctoral dissertation]. University of Oklahoma; 2019. [cited 2021 Jan 21].
Available from: http://hdl.handle.net/11244/322089.
Council of Science Editors:
Aghaei F. DEVELOPING NOVEL COMPUTER-AIDED DETECTION AND DIAGNOSIS SYSTEMS OF MEDICAL IMAGES. [Doctoral Dissertation]. University of Oklahoma; 2019. Available from: http://hdl.handle.net/11244/322089
University of Oklahoma
27.
Alkhouli, Osama M.
Hirschman optimal transform least mean square adaptive filters.
Degree: PhD, School of Electrical and Computer Engineering, 2007, University of Oklahoma
URL: http://hdl.handle.net/11244/1307
Subjects/Keywords: Least squares.; Engineering, Electronics and Electrical.; Adaptive filters Mathematical models.
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APA (6th Edition):
Alkhouli, O. M. (2007). Hirschman optimal transform least mean square adaptive filters. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/1307
Chicago Manual of Style (16th Edition):
Alkhouli, Osama M. “Hirschman optimal transform least mean square adaptive filters.” 2007. Doctoral Dissertation, University of Oklahoma. Accessed January 21, 2021.
http://hdl.handle.net/11244/1307.
MLA Handbook (7th Edition):
Alkhouli, Osama M. “Hirschman optimal transform least mean square adaptive filters.” 2007. Web. 21 Jan 2021.
Vancouver:
Alkhouli OM. Hirschman optimal transform least mean square adaptive filters. [Internet] [Doctoral dissertation]. University of Oklahoma; 2007. [cited 2021 Jan 21].
Available from: http://hdl.handle.net/11244/1307.
Council of Science Editors:
Alkhouli OM. Hirschman optimal transform least mean square adaptive filters. [Doctoral Dissertation]. University of Oklahoma; 2007. Available from: http://hdl.handle.net/11244/1307
University of Oklahoma
28.
Wang, Yunhua.
Multiplierless CSD techniques for high performance FPGA implementation of digital filters.
Degree: PhD, School of Electrical and Computer Engineering, 2007, University of Oklahoma
URL: http://hdl.handle.net/11244/1254
► Adaptive system implementations require real-time conversion of coefficients to Canonical Signed Digit (CSD) or similar representations to benefit from multiplierless techniques for implementing filters. Multiplierless…
(more)
▼ Adaptive system implementations require real-time conversion of coefficients to Canonical Signed Digit (CSD) or similar representations to benefit from multiplierless techniques for implementing filters. Multiplierless approaches are used to reduce the hardware and increase the throughput. This dissertation introduces the first non-iterative hardware algorithm to convert 2's complement numbers to their CSD representations (FastCSD) using a fixed number of shift and logic operations. As a result, the power consumption and area requirements required for hardware implementation of DSP algorithms in which the coefficients are not known a priori can be greatly reduced. Because all CSD digits are produced simultaneously, the conversion speed and thus the throughput are improved when compared to overlap-and-scan techniques such as Booth's recoding.
Advisors/Committee Members: Havlicek, Joseph P., (advisor), DeBrunner, Linda S., (advisor).
Subjects/Keywords: Field programmable gate arrays.; Digital filters (Mathematics); Engineering, Electronics and Electrical.; Signal processing Digital techniques.
Record Details
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Record Details
Similar Records
Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Wang, Y. (2007). Multiplierless CSD techniques for high performance FPGA implementation of digital filters. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/1254
Chicago Manual of Style (16th Edition):
Wang, Yunhua. “Multiplierless CSD techniques for high performance FPGA implementation of digital filters.” 2007. Doctoral Dissertation, University of Oklahoma. Accessed January 21, 2021.
http://hdl.handle.net/11244/1254.
MLA Handbook (7th Edition):
Wang, Yunhua. “Multiplierless CSD techniques for high performance FPGA implementation of digital filters.” 2007. Web. 21 Jan 2021.
Vancouver:
Wang Y. Multiplierless CSD techniques for high performance FPGA implementation of digital filters. [Internet] [Doctoral dissertation]. University of Oklahoma; 2007. [cited 2021 Jan 21].
Available from: http://hdl.handle.net/11244/1254.
Council of Science Editors:
Wang Y. Multiplierless CSD techniques for high performance FPGA implementation of digital filters. [Doctoral Dissertation]. University of Oklahoma; 2007. Available from: http://hdl.handle.net/11244/1254
. 
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