subject:(Underdetermined)

NSYSU

1. Wang, Wan-Wei. Effective Condition Number for Underdetermined Systems and its Application to Neumann Problems, Comparisons of Different Numerical Approaches.

Degree: Master, Applied Mathematics, 2010, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0726110-143212

► In this thesis, for the under-determined system Fx = b with the matrix F ∈mÃn (m ≤ n), new error bounds involving the traditional condition… (more)

Subjects/Keywords: effective condition number; MFV; stability; convergence; underdetermined system

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APA (6^th Edition):

Wang, W. (2010). Effective Condition Number for Underdetermined Systems and its Application to Neumann Problems, Comparisons of Different Numerical Approaches. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0726110-143212

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Wang, Wan-Wei. “Effective Condition Number for Underdetermined Systems and its Application to Neumann Problems, Comparisons of Different Numerical Approaches.” 2010. Thesis, NSYSU. Accessed February 25, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0726110-143212.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Wang, Wan-Wei. “Effective Condition Number for Underdetermined Systems and its Application to Neumann Problems, Comparisons of Different Numerical Approaches.” 2010. Web. 25 Feb 2021.

Vancouver:

Wang W. Effective Condition Number for Underdetermined Systems and its Application to Neumann Problems, Comparisons of Different Numerical Approaches. [Internet] [Thesis]. NSYSU; 2010. [cited 2021 Feb 25]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0726110-143212.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang W. Effective Condition Number for Underdetermined Systems and its Application to Neumann Problems, Comparisons of Different Numerical Approaches. [Thesis]. NSYSU; 2010. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0726110-143212

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Melbourne

2. Moreau, Miza. Determining underdetermined space: reappropriation of residential laneways in Melbourne.

Degree: 2019, University of Melbourne

URL: http://hdl.handle.net/11343/224157

► Residential laneways in Melbourne are leftover infrastructure from the 19th century, designed for sewage disposal practices that have long been displaced. At present, they are… (more)

Subjects/Keywords: residential laneway; reappropriation; underdetermined space; public space; mapping

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APA (6^th Edition):

Moreau, M. (2019). Determining underdetermined space: reappropriation of residential laneways in Melbourne. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/224157

Chicago Manual of Style (16^th Edition):

Moreau, Miza. “Determining underdetermined space: reappropriation of residential laneways in Melbourne.” 2019. Doctoral Dissertation, University of Melbourne. Accessed February 25, 2021. http://hdl.handle.net/11343/224157.

MLA Handbook (7^th Edition):

Moreau, Miza. “Determining underdetermined space: reappropriation of residential laneways in Melbourne.” 2019. Web. 25 Feb 2021.

Vancouver:

Moreau M. Determining underdetermined space: reappropriation of residential laneways in Melbourne. [Internet] [Doctoral dissertation]. University of Melbourne; 2019. [cited 2021 Feb 25]. Available from: http://hdl.handle.net/11343/224157.

Council of Science Editors:

Moreau M. Determining underdetermined space: reappropriation of residential laneways in Melbourne. [Doctoral Dissertation]. University of Melbourne; 2019. Available from: http://hdl.handle.net/11343/224157

Virginia Tech

3. Slagel, Joseph Tanner. The Sherman Morrison Iteration.

Degree: MS, Mathematics, 2015, Virginia Tech

URL: http://hdl.handle.net/10919/52966

► The Sherman Morrison iteration method is developed to solve regularized least squares problems. Notions of pivoting and splitting are deliberated on to make the method… (more)

Subjects/Keywords: Sherman Morrison; regularized least squares problem; extremely underdetermined linear system

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APA (6^th Edition):

Slagel, J. T. (2015). The Sherman Morrison Iteration. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/52966

Chicago Manual of Style (16^th Edition):

Slagel, Joseph Tanner. “The Sherman Morrison Iteration.” 2015. Masters Thesis, Virginia Tech. Accessed February 25, 2021. http://hdl.handle.net/10919/52966.

MLA Handbook (7^th Edition):

Slagel, Joseph Tanner. “The Sherman Morrison Iteration.” 2015. Web. 25 Feb 2021.

Vancouver:

Slagel JT. The Sherman Morrison Iteration. [Internet] [Masters thesis]. Virginia Tech; 2015. [cited 2021 Feb 25]. Available from: http://hdl.handle.net/10919/52966.

Council of Science Editors:

Slagel JT. The Sherman Morrison Iteration. [Masters Thesis]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/52966

University of Edinburgh

4. Dmour, Mohammad A. Mixture of beamformers for speech separation and extraction.

Degree: PhD, 2010, University of Edinburgh

URL: http://hdl.handle.net/1842/4685

► In many audio applications, the signal of interest is corrupted by acoustic background noise, interference, and reverberation. The presence of these contaminations can significantly degrade… (more)

▼ In many audio applications, the signal of interest is corrupted by acoustic background noise, interference, and reverberation. The presence of these contaminations can significantly degrade the quality and intelligibility of the audio signal. This makes it important to develop signal processing methods that can separate the competing sources and extract a source of interest. The estimated signals may then be either directly listened to, transmitted, or further processed, giving rise to a wide range of applications such as hearing aids, noise-cancelling headphones, human-computer interaction, surveillance, and hands-free telephony. Many of the existing approaches to speech separation/extraction relied on beamforming techniques. These techniques approach the problem from a spatial point of view; a microphone array is used to form a spatial filter which can extract a signal from a specific direction and reduce the contamination of signals from other directions. However, when there are fewer microphones than sources (the underdetermined case), perfect attenuation of all interferers becomes impossible and only partial interference attenuation is possible. In this thesis, we present a framework which extends the use of beamforming techniques to underdetermined speech mixtures. We describe frequency domain non-linear mixture of beamformers that can extract a speech source from a known direction. Our approach models the data in each frequency bin via Gaussian mixture distributions, which can be learned using the expectation maximization algorithm. The model learning is performed using the observed mixture signals only, and no prior training is required. The signal estimator comprises of a set of minimum mean square error (MMSE), minimum variance distortionless response (MVDR), or minimum power distortionless response (MPDR) beamformers. In order to estimate the signal, all beamformers are concurrently applied to the observed signal, and the weighted sum of the beamformers’ outputs is used as the signal estimator, where the weights are the estimated posterior probabilities of the Gaussian mixture states. These weights are specific to each timefrequency point. The resulting non-linear beamformers do not need to know or estimate the number of sources, and can be applied to microphone arrays with two or more microphones with arbitrary array configuration. We test and evaluate the described methods on underdetermined speech mixtures. Experimental results for the non-linear beamformers in underdetermined mixtures with room reverberation confirm their capability to successfully extract speech sources.

Subjects/Keywords: 621.382; audio source separation; beamforming; underdetermined

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APA (6^th Edition):

Dmour, M. A. (2010). Mixture of beamformers for speech separation and extraction. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/4685

Chicago Manual of Style (16^th Edition):

Dmour, Mohammad A. “Mixture of beamformers for speech separation and extraction.” 2010. Doctoral Dissertation, University of Edinburgh. Accessed February 25, 2021. http://hdl.handle.net/1842/4685.

MLA Handbook (7^th Edition):

Dmour, Mohammad A. “Mixture of beamformers for speech separation and extraction.” 2010. Web. 25 Feb 2021.

Vancouver:

Dmour MA. Mixture of beamformers for speech separation and extraction. [Internet] [Doctoral dissertation]. University of Edinburgh; 2010. [cited 2021 Feb 25]. Available from: http://hdl.handle.net/1842/4685.

Council of Science Editors:

Dmour MA. Mixture of beamformers for speech separation and extraction. [Doctoral Dissertation]. University of Edinburgh; 2010. Available from: http://hdl.handle.net/1842/4685

Brno University of Technology

5. Pazderský, Tomáš. Aplikace nedourčených soustav lineárních rovnic ve zpracování obrazu: Application of underdetermined systems of linear equations in image processing.

Degree: 2019, Brno University of Technology

URL: http://hdl.handle.net/11012/9397

► The thesis focuses on creating the GUI in MATLAB program for demonstration an application of denoising, deblurring and inpainting on the image processing with help… (more)

Subjects/Keywords: řídké řešení; nedourčený systém; metody zpracování obrazu; transformace; MATLAB; GUI; sparse solution; underdetermined system; image processing methods; transformation; MATLAB; GUI

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APA (6^th Edition):

Pazderský, T. (2019). Aplikace nedourčených soustav lineárních rovnic ve zpracování obrazu: Application of underdetermined systems of linear equations in image processing. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/9397

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Pazderský, Tomáš. “Aplikace nedourčených soustav lineárních rovnic ve zpracování obrazu: Application of underdetermined systems of linear equations in image processing.” 2019. Thesis, Brno University of Technology. Accessed February 25, 2021. http://hdl.handle.net/11012/9397.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Pazderský, Tomáš. “Aplikace nedourčených soustav lineárních rovnic ve zpracování obrazu: Application of underdetermined systems of linear equations in image processing.” 2019. Web. 25 Feb 2021.

Vancouver:

Pazderský T. Aplikace nedourčených soustav lineárních rovnic ve zpracování obrazu: Application of underdetermined systems of linear equations in image processing. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Feb 25]. Available from: http://hdl.handle.net/11012/9397.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pazderský T. Aplikace nedourčených soustav lineárních rovnic ve zpracování obrazu: Application of underdetermined systems of linear equations in image processing. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/9397

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

6. Ali, Konpal S. On Lattice Sequential Decoding for Large MIMO Systems.

Degree: Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, 2014, King Abdullah University of Science and Technology

URL: http://hdl.handle.net/10754/316732

► Due to their ability to provide high data rates, Multiple-Input Multiple-Output (MIMO) wireless communication systems have become increasingly popular. Decoding of these systems with acceptable… (more)

▼ Due to their ability to provide high data rates, Multiple-Input Multiple-Output (MIMO) wireless communication systems have become increasingly popular. Decoding of these systems with acceptable error performance is computationally very demanding. In the case of large overdetermined MIMO systems, we employ the Sequential Decoder using the Fano Algorithm. A parameter called the bias is varied to attain different performance-complexity trade-offs. Low values of the bias result in excellent performance but at the expense of high complexity and vice versa for higher bias values. We attempt to bound the error by bounding the bias, using the minimum distance of a lattice. Also, a particular trend is observed with increasing SNR: a region of low complexity and high error, followed by a region of high complexity and error falling, and finally a region of low complexity and low error. For lower bias values, the stages of the trend are incurred at lower SNR than for higher bias values. This has the important implication that a low enough bias value, at low to moderate SNR, can result in low error and low complexity even for large MIMO systems. Our work is compared against Lattice Reduction (LR) aided Linear Decoders (LDs). Another impressive observation for low bias values that satisfy the error bound is that the Sequential Decoder's error is seen to fall with increasing system size, while it grows for the LR-aided LDs. For the case of large underdetermined MIMO systems, Sequential Decoding with two preprocessing schemes is proposed – 1) Minimum Mean Square Error Generalized Decision Feedback Equalization (MMSE-GDFE) preprocessing 2) MMSE-GDFE preprocessing, followed by Lattice Reduction and Greedy Ordering. Our work is compared against previous work which employs Sphere Decoding preprocessed using MMSE-GDFE, Lattice Reduction and Greedy Ordering. For the case of large systems, this results in high complexity and difficulty in choosing the sphere radius. Our schemes, particularly 2), perform better in terms of complexity and are able to achieve almost the same error curves, depending on the bias used. Advisors/Committee Members: Alouini, Mohamed-Slim (advisor), Al-Naffouri, Tareq Y. (committee member), Sultan Salem, Ahmed Kamal (committee member), Turkiyyah, George (committee member).

Subjects/Keywords: Lattice; MIMO; Overdetermined; Underdetermined; Sequential-decodes; Bias

…4 Past work on Underdetermined Systems 4.1 Background… …4.2 Optimal Detection Schemes for the Underdetermined Transmission Case 4.2.1 Generalized… …Transforms Underdetermined System into an Overdetermined System . . . . . . . . . . . . . . 4.2.6… …Improved Regularization Approach - Transforms Underdetermined System into an Overdetermined… …4.3 Suboptimal Detection Schemes for the Underdetermined transmission case…

1 more image…

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APA (6^th Edition):

Ali, K. S. (2014). On Lattice Sequential Decoding for Large MIMO Systems. (Thesis). King Abdullah University of Science and Technology. Retrieved from http://hdl.handle.net/10754/316732

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Ali, Konpal S. “On Lattice Sequential Decoding for Large MIMO Systems.” 2014. Thesis, King Abdullah University of Science and Technology. Accessed February 25, 2021. http://hdl.handle.net/10754/316732.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Ali, Konpal S. “On Lattice Sequential Decoding for Large MIMO Systems.” 2014. Web. 25 Feb 2021.

Vancouver:

Ali KS. On Lattice Sequential Decoding for Large MIMO Systems. [Internet] [Thesis]. King Abdullah University of Science and Technology; 2014. [cited 2021 Feb 25]. Available from: http://hdl.handle.net/10754/316732.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ali KS. On Lattice Sequential Decoding for Large MIMO Systems. [Thesis]. King Abdullah University of Science and Technology; 2014. Available from: http://hdl.handle.net/10754/316732

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Central Florida

7. Mehdawi, Nader. Monitoring For Underdetermined Underground Structures During Excavation Using Limited Sensor Data.

Degree: 2013, University of Central Florida

URL: https://stars.library.ucf.edu/etd/2559

► A realistic field monitoring application to evaluate close proximity tunneling effects of a new tunnel on an existing tunnel is presented. A blind source separation… (more)

Subjects/Keywords: Monitoring; underground structures; sensor data; underdetermined; Civil Engineering; Engineering; Structural Engineering; Dissertations, Academic – Engineering and Computer Science, Engineering and Computer Science – Dissertations, Academic

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APA (6^th Edition):

Mehdawi, N. (2013). Monitoring For Underdetermined Underground Structures During Excavation Using Limited Sensor Data. (Masters Thesis). University of Central Florida. Retrieved from https://stars.library.ucf.edu/etd/2559

Chicago Manual of Style (16^th Edition):

Mehdawi, Nader. “Monitoring For Underdetermined Underground Structures During Excavation Using Limited Sensor Data.” 2013. Masters Thesis, University of Central Florida. Accessed February 25, 2021. https://stars.library.ucf.edu/etd/2559.

MLA Handbook (7^th Edition):

Mehdawi, Nader. “Monitoring For Underdetermined Underground Structures During Excavation Using Limited Sensor Data.” 2013. Web. 25 Feb 2021.

Vancouver:

Mehdawi N. Monitoring For Underdetermined Underground Structures During Excavation Using Limited Sensor Data. [Internet] [Masters thesis]. University of Central Florida; 2013. [cited 2021 Feb 25]. Available from: https://stars.library.ucf.edu/etd/2559.

Council of Science Editors:

Mehdawi N. Monitoring For Underdetermined Underground Structures During Excavation Using Limited Sensor Data. [Masters Thesis]. University of Central Florida; 2013. Available from: https://stars.library.ucf.edu/etd/2559

University of Colorado

8. O'Keefe, Stephen Andrew. Autonomous Sun-Direction Estimation Using Partially Underdetermined Coarse Sun Sensor Configurations.

Degree: PhD, Aerospace Engineering Sciences, 2015, University of Colorado

URL: https://scholar.colorado.edu/asen_gradetds/95

► In recent years there has been a significant increase in interest in smaller satellites as lower cost alternatives to traditional satellites, particularly with the… (more)

▼ In recent years there has been a significant increase in interest in smaller satellites as lower cost alternatives to traditional satellites, particularly with the rise in popularity of the CubeSat. Due to stringent mass, size, and often budget constraints, these small satellites rely on making the most of inexpensive hardware components and sensors, such as coarse sun sensors (CSS) and magnetometers. More expensive high-accuracy sun sensors often combine multiple measurements, and use specialized electronics, to deterministically solve for the direction of the Sun. Alternatively, cosine-type CSS output a voltage relative to the input light and are attractive due to their very low cost, simplicity to manufacture, small size, and minimal power consumption. This research investigates using coarse sun sensors for performing robust attitude estimation in order to point a spacecraft at the Sun after deployment from a launch vehicle, or following a system fault. As an alternative to using a large number of sensors, this thesis explores sun-direction estimation techniques with low computational costs that function well with underdetermined sets of CSS. Single-point estimators are coupled with simultaneous nonlinear control to achieve sun-pointing within a small percentage of a single orbit despite the partially underdetermined nature of the sensor suite. Leveraging an extensive analysis of the sensor models involved, sequential filtering techniques are shown to be capable of estimating the sun-direction to within a few degrees, with no a priori attitude information and using only CSS, despite the significant noise and biases present in the system. Detailed numerical simulations are used to compare and contrast the performance of the five different estimation techniques, with and without rate gyro measurements, their sensitivity to rate gyro accuracy, and their computation time. One of the key concerns with reducing the number of CSS is sensor degradation and failure. In this thesis, a Modified Rodrigues Parameter based CSS calibration filter suitable for autonomous on-board operation is developed. The sensitivity of this method's accuracy to the available Earth albedo data is evaluated and compared to the required computational effort. The calibration filter is expanded to perform sensor fault detection, and promising results are shown for reduced resolution albedo models. All of the methods discussed provide alternative attitude, determination, and control system algorithms for small satellite missions looking to use inexpensive, small sensors due to size, power, or budget limitations. Advisors/Committee Members: Hanspeter Schaub, Penina Axelrad, Nikolaus Correll, Brandon Jones, Jay McMahon.

Subjects/Keywords: Coarse Sun Sensors; Sun-Direction Estimation; Underdetermined; CubeSat; small satellite; mission limitation; Multi-Vehicle Systems and Air Traffic Control; Systems Engineering and Multidisciplinary Design Optimization; The Sun and the Solar System

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APA (6^th Edition):

O'Keefe, S. A. (2015). Autonomous Sun-Direction Estimation Using Partially Underdetermined Coarse Sun Sensor Configurations. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/asen_gradetds/95

Chicago Manual of Style (16^th Edition):

O'Keefe, Stephen Andrew. “Autonomous Sun-Direction Estimation Using Partially Underdetermined Coarse Sun Sensor Configurations.” 2015. Doctoral Dissertation, University of Colorado. Accessed February 25, 2021. https://scholar.colorado.edu/asen_gradetds/95.

MLA Handbook (7^th Edition):

O'Keefe, Stephen Andrew. “Autonomous Sun-Direction Estimation Using Partially Underdetermined Coarse Sun Sensor Configurations.” 2015. Web. 25 Feb 2021.

Vancouver:

O'Keefe SA. Autonomous Sun-Direction Estimation Using Partially Underdetermined Coarse Sun Sensor Configurations. [Internet] [Doctoral dissertation]. University of Colorado; 2015. [cited 2021 Feb 25]. Available from: https://scholar.colorado.edu/asen_gradetds/95.

Council of Science Editors:

O'Keefe SA. Autonomous Sun-Direction Estimation Using Partially Underdetermined Coarse Sun Sensor Configurations. [Doctoral Dissertation]. University of Colorado; 2015. Available from: https://scholar.colorado.edu/asen_gradetds/95

University of Minnesota

9. Gowreesunker, Baboo Vikrhamsingh. Sparse decomposition methods for multi-channel signals.

Degree: PhD, Electrical Engineering, 2009, University of Minnesota

URL: http://purl.umn.edu/54178

► Redundant representations have traditionally been developed for image processing and have been typically too computationally demanding to be applied to modern day multi-channel signal processing… (more)

Subjects/Keywords: Iterative Subspace Identification; Multi-Channel Signals; Overcomplete Dictionary Learning; Sparse Representation; Underdetermined Blind Source Separation; Electrical Engineering

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APA (6^th Edition):

Gowreesunker, B. V. (2009). Sparse decomposition methods for multi-channel signals. (Doctoral Dissertation). University of Minnesota. Retrieved from http://purl.umn.edu/54178

Chicago Manual of Style (16^th Edition):

Gowreesunker, Baboo Vikrhamsingh. “Sparse decomposition methods for multi-channel signals.” 2009. Doctoral Dissertation, University of Minnesota. Accessed February 25, 2021. http://purl.umn.edu/54178.

MLA Handbook (7^th Edition):

Gowreesunker, Baboo Vikrhamsingh. “Sparse decomposition methods for multi-channel signals.” 2009. Web. 25 Feb 2021.

Vancouver:

Gowreesunker BV. Sparse decomposition methods for multi-channel signals. [Internet] [Doctoral dissertation]. University of Minnesota; 2009. [cited 2021 Feb 25]. Available from: http://purl.umn.edu/54178.

Council of Science Editors:

Gowreesunker BV. Sparse decomposition methods for multi-channel signals. [Doctoral Dissertation]. University of Minnesota; 2009. Available from: http://purl.umn.edu/54178

University of Southern California

10. Cho, Namgook. Source-specific learning and binaural cues selection techniques for audio source separation.

Degree: PhD, Electrical Engineering, 2009, University of Southern California

URL: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/258996/rec/5970

► Several audio source separation techniques, which aim to determine the original sources given their acoustic mixtures, are proposed in this research. Two different mixing processes… (more)

▼ Several audio source separation techniques, which aim to determine the original sources given their acoustic mixtures, are proposed in this research. Two different mixing processes are considered in terms of the number of microphones: single-channel and multi-channel settings. Since no spatial cue is used in the single-channel observation, we exploit different characteristics of audio sounds. In the case of multichannel mixtures, the spatial information to the sound field enables us to estimate the mixing system by locating sound sources.; In Chapter 3, we propose a source-specific learning approach to efficient music representation, and use it to separate music signals that co-exist with background noise such as speech or environmental sounds. The basic idea is to determine a set of learned elementary functions, or called atoms, to efficiently capture music signal characteristics. There are three steps in the construction of a learned dictionary. First, we decompose basic components of musical signals (e.g., musical notes) into a set of source-independent atoms (i.e., Gabor atoms). Then, we prioritize these Gabor atoms according to their approximation capability to music signals of interest. Third, we use the prioritized Gabor atoms to synthesize new atoms to build a compact learned dictionary. The number of atoms needed to represent music signals using the learned dictionary is much less than that of the Gabor dictionary, resulting in a sparse music representation. Experimental results are given to demonstrate its efficiency and application to music signal separation from a mixture of multiple sounds.; In Chapter 4, we investigate the noise effects on the multichannel audio source separation with instantaneous mixing system, where sounds emanating from different sources arrive at the same time without any delay between them. Under the noisy condition, source sparsity assumption, which is critical in Sparse Component Analysis (SCA), is easily violated, i.e., several sources may exist at a time-frequency point. These violation of the assumption yields errors in the estimation of mixing parameters and rendered the use of l1-norm minimization improper. We propose an enhanced technique to address the problem by employing weighted soft-assignment clustering and generalized lp-norm minimization with regularization. The technique results in more robust and sparser solutions in a noisy environment than SCA-based methods. In addition, we extend the single-channel audio source separation technique based on source-specific dictionaries to the multichannel case to extract music signals from stereo-channel mixtures.; In Chapter 5, we propose a robust technique to separate audio sources received by a microphone array in a room acoustic environment with an underdetermined mixing process (i.e., the number of sources is larger than the number of mixtures). Our scheme consists of two stages: 1) estimation of mixing parameters and 2) recovery of source signals. For the first stage, contrary to the traditional DUET (Degenerate Unmixing… Advisors/Committee Members: Kuo, C.-C. Jay (Committee Chair), Narayanan, Shrikanth S. (Committee Member), Chen, Liang (Committee Member).

Subjects/Keywords: audio source separation; musical signal processing; room acoustics; source-specific signal processing; sparse signal representation; underdetermined mixing

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APA (6^th Edition):

Cho, N. (2009). Source-specific learning and binaural cues selection techniques for audio source separation. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/258996/rec/5970

Chicago Manual of Style (16^th Edition):

Cho, Namgook. “Source-specific learning and binaural cues selection techniques for audio source separation.” 2009. Doctoral Dissertation, University of Southern California. Accessed February 25, 2021. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/258996/rec/5970.

MLA Handbook (7^th Edition):

Cho, Namgook. “Source-specific learning and binaural cues selection techniques for audio source separation.” 2009. Web. 25 Feb 2021.

Vancouver:

Cho N. Source-specific learning and binaural cues selection techniques for audio source separation. [Internet] [Doctoral dissertation]. University of Southern California; 2009. [cited 2021 Feb 25]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/258996/rec/5970.

Council of Science Editors:

Cho N. Source-specific learning and binaural cues selection techniques for audio source separation. [Doctoral Dissertation]. University of Southern California; 2009. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/258996/rec/5970

Brno University of Technology

11. Čermák, Jan. Nedourčená slepá separace zvukových signálů: Underdetermined Blind Audio Signal Separation.

Degree: 2018, Brno University of Technology

URL: http://hdl.handle.net/11012/9265

► We often have to face the fact that several signals are mixed together in unknown environment. The signals must be first extracted from the mixture… (more)

Subjects/Keywords: Nedourčená slepá separace signálů; směrování přijímací charakteristiky; směrovač; časově-frekvenční maskování; analýza řídkých komponent; řídké signály; hudební šum; zvýrazňování signálu; analýza nezávislých komponent; Underdetermined blind source separation; beamforming; beamformer; time-frequency masking; sparse component analysis; sparse signal; musical noise; signal enhancement; independent component analysis

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APA (6^th Edition):

Čermák, J. (2018). Nedourčená slepá separace zvukových signálů: Underdetermined Blind Audio Signal Separation. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/9265

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Čermák, Jan. “Nedourčená slepá separace zvukových signálů: Underdetermined Blind Audio Signal Separation.” 2018. Thesis, Brno University of Technology. Accessed February 25, 2021. http://hdl.handle.net/11012/9265.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Čermák, Jan. “Nedourčená slepá separace zvukových signálů: Underdetermined Blind Audio Signal Separation.” 2018. Web. 25 Feb 2021.

Vancouver:

Čermák J. Nedourčená slepá separace zvukových signálů: Underdetermined Blind Audio Signal Separation. [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2021 Feb 25]. Available from: http://hdl.handle.net/11012/9265.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Čermák J. Nedourčená slepá separace zvukových signálů: Underdetermined Blind Audio Signal Separation. [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/9265

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Queensland University of Technology

12. Nguyen, Linh-Trung. Estimation and separation of linear frequency- modulated signals in wireless communications using time - frequency signal processing.

Degree: 2004, Queensland University of Technology

URL: https://eprints.qut.edu.au/15984/

► Signal processing has been playing a key role in providing solutions to key problems encountered in communications, in general, and in wireless communications, in particular.… (more)

▼ Signal processing has been playing a key role in providing solutions to key problems encountered in communications, in general, and in wireless communications, in particular. Time-Frequency Signal Processing (TFSP) provides eective tools for analyzing nonstationary signals where the frequency content of signals varies in time as well as for analyzing linear time-varying systems. This research aimed at exploiting the advantages of TFSP, in dealing with nonstationary signals, into the fundamental issues of signal processing, namely the signal estimation and signal separation. In particular, it has investigated the problems of (i) the Instantaneous Frequency (IF) estimation of Linear Frequency-Modulated (LFM) signals corrupted in complex-valued zero-mean Multiplicative Noise (MN), and (ii) the Underdetermined Blind Source Separation (UBSS) of LFM signals, while focusing onto the fast-growing area of Wireless Communications (WCom). A common problem in the issue of signal estimation is the estimation of the frequency of Frequency-Modulated signals which are seen in many engineering and real-life applications. Accurate frequency estimation leads to accurate recovery of the true information. In some applications, the random amplitude modulation shows up when the medium is dispersive and/or when the assumption of point target is not valid; the original signal is considered to be corrupted by an MN process thus seriously aecting the recovery of the information-bearing frequency. The IF estimation of nonstationary signals corrupted by complex-valued zero-mean MN was investigated in this research. We have proposed a Second-Order Statistics approach, rather than a Higher-Order Statistics approach, for IF estimation using Time-Frequency Distributions (TFDs). The main assumption was that the autocorrelation function of the MN is real-valued but not necessarily positive (i.e. the spectrum of the MN is symmetric but does not necessary has the highest peak at zero frequency). The estimation performance was analyzed in terms of bias and variance, and compared between four dierent TFDs: Wigner-Ville Distribution, Spectrogram, Choi-Williams Distribution and Modified B Distribution. To further improve the estimation, we proposed to use the Multiple Signal Classification algorithm and showed its better performance. It was shown that the Modified B Distribution performance was the best for Signal-to-Noise Ratio less than 10dB. In the issue of signal separation, a new research direction called Blind Source Separation (BSS) has emerged over the last decade. BSS is a fundamental technique in array signal processing aiming at recovering unobserved signals or sources from observed mixtures exploiting only the assumption of mutual independence between the signals. The term "blind" indicates that neither the structure of the mixtures nor the source signals are known to the receivers. Applications of BSS are seen in, for example, radar and sonar, communications, speech processing, biomedical signal processing. In the…

Subjects/Keywords: signal processing; wireless mobile communications; time -frequency distribution; nonstatonary signal; linear frequency - modulation; multiplicative noise(random amplitude modulation); instantaneous frequency estimation; time - frequency distribution; reduced - inteference distribution; array processing; underdetermined blind source separation; instantaneous linear mixture; spatial time - frequency distribution; vector clustering; rayleigh fading; narrowband fading channel; wideband fading channel; linear time - varying channel; wide - sense stationary uncorrelated scattering; scattering function; estimation; separation; simulation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Nguyen, L. (2004). Estimation and separation of linear frequency- modulated signals in wireless communications using time - frequency signal processing. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/15984/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Nguyen, Linh-Trung. “Estimation and separation of linear frequency- modulated signals in wireless communications using time - frequency signal processing.” 2004. Thesis, Queensland University of Technology. Accessed February 25, 2021. https://eprints.qut.edu.au/15984/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Nguyen, Linh-Trung. “Estimation and separation of linear frequency- modulated signals in wireless communications using time - frequency signal processing.” 2004. Web. 25 Feb 2021.

Vancouver:

Nguyen L. Estimation and separation of linear frequency- modulated signals in wireless communications using time - frequency signal processing. [Internet] [Thesis]. Queensland University of Technology; 2004. [cited 2021 Feb 25]. Available from: https://eprints.qut.edu.au/15984/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Nguyen L. Estimation and separation of linear frequency- modulated signals in wireless communications using time - frequency signal processing. [Thesis]. Queensland University of Technology; 2004. Available from: https://eprints.qut.edu.au/15984/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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