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Dept: Electrical Engineering  Dates: 2015 – 2019

You searched for subject:(aggregation approximation databases prababilistic statistical). Showing records 1 – 23 of 23 total matches.

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Texas A&M University

1. Shafik, Ayman Osama Amin Mohamed. Equalization Architectures for High Speed ADC-Based Serial I/O Receivers.

Degree: PhD, Electrical Engineering, 2016, Texas A&M University

 The growth in worldwide network tra?c due to the rise of cloud computing and wireless video consumption has required servers and routers to support increased… (more)

Subjects/Keywords: ADC-Based Receiver; Analog-To-Digital Converter (ADC); Bit-Error Rate (BER); Decision Feedback Equalizer (DFE); Digital Equalization; Embedded Equalization; Feed-Forward Equalizer (FFE); Statistical Modeling; Successive Approximation Register (SAR); Time Interleaving

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APA (6th Edition):

Shafik, A. O. A. M. (2016). Equalization Architectures for High Speed ADC-Based Serial I/O Receivers. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/156875

Chicago Manual of Style (16th Edition):

Shafik, Ayman Osama Amin Mohamed. “Equalization Architectures for High Speed ADC-Based Serial I/O Receivers.” 2016. Doctoral Dissertation, Texas A&M University. Accessed October 16, 2019. http://hdl.handle.net/1969.1/156875.

MLA Handbook (7th Edition):

Shafik, Ayman Osama Amin Mohamed. “Equalization Architectures for High Speed ADC-Based Serial I/O Receivers.” 2016. Web. 16 Oct 2019.

Vancouver:

Shafik AOAM. Equalization Architectures for High Speed ADC-Based Serial I/O Receivers. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1969.1/156875.

Council of Science Editors:

Shafik AOAM. Equalization Architectures for High Speed ADC-Based Serial I/O Receivers. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/156875


University of Toledo

2. Modhe, Sandesh. Performance Analysis of Orthogonal Frequency Division Multiplexing (OFDM) and Bandwidth Extension using Carrier Aggregation (CA).

Degree: MS, Electrical Engineering, 2016, University of Toledo

 This thesis deals with the performance analysis of an Orthogonal Frequency Division Multiplexing (OFDM) system and the bandwidth extension achieved with carrier aggregation (CA). Data,… (more)

Subjects/Keywords: Electrical Engineering; OFDM, CA, Carrier Aggregation

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APA (6th Edition):

Modhe, S. (2016). Performance Analysis of Orthogonal Frequency Division Multiplexing (OFDM) and Bandwidth Extension using Carrier Aggregation (CA). (Masters Thesis). University of Toledo. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=toledo1430336307

Chicago Manual of Style (16th Edition):

Modhe, Sandesh. “Performance Analysis of Orthogonal Frequency Division Multiplexing (OFDM) and Bandwidth Extension using Carrier Aggregation (CA).” 2016. Masters Thesis, University of Toledo. Accessed October 16, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1430336307.

MLA Handbook (7th Edition):

Modhe, Sandesh. “Performance Analysis of Orthogonal Frequency Division Multiplexing (OFDM) and Bandwidth Extension using Carrier Aggregation (CA).” 2016. Web. 16 Oct 2019.

Vancouver:

Modhe S. Performance Analysis of Orthogonal Frequency Division Multiplexing (OFDM) and Bandwidth Extension using Carrier Aggregation (CA). [Internet] [Masters thesis]. University of Toledo; 2016. [cited 2019 Oct 16]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1430336307.

Council of Science Editors:

Modhe S. Performance Analysis of Orthogonal Frequency Division Multiplexing (OFDM) and Bandwidth Extension using Carrier Aggregation (CA). [Masters Thesis]. University of Toledo; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1430336307


NSYSU

3. Hou, Jun-Hong. Data Rate Estimation of Aggregated Dual-band Signals Cognitive from Software-Defined Radio Architecture.

Degree: Master, Electrical Engineering, 2016, NSYSU

 Ever since entering the age of information and communications, the IT industry has grown exponentially. Due to the growing demands for wireless communications, spectrum has… (more)

Subjects/Keywords: Carrier Aggregation; spectrum efficiency; throughput; Cognitive Radio; Spectrum sensing

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APA (6th Edition):

Hou, J. (2016). Data Rate Estimation of Aggregated Dual-band Signals Cognitive from Software-Defined Radio Architecture. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0718116-162016

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

Chicago Manual of Style (16th Edition):

Hou, Jun-Hong. “Data Rate Estimation of Aggregated Dual-band Signals Cognitive from Software-Defined Radio Architecture.” 2016. Thesis, NSYSU. Accessed October 16, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0718116-162016.

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

MLA Handbook (7th Edition):

Hou, Jun-Hong. “Data Rate Estimation of Aggregated Dual-band Signals Cognitive from Software-Defined Radio Architecture.” 2016. Web. 16 Oct 2019.

Vancouver:

Hou J. Data Rate Estimation of Aggregated Dual-band Signals Cognitive from Software-Defined Radio Architecture. [Internet] [Thesis]. NSYSU; 2016. [cited 2019 Oct 16]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0718116-162016.

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

Council of Science Editors:

Hou J. Data Rate Estimation of Aggregated Dual-band Signals Cognitive from Software-Defined Radio Architecture. [Thesis]. NSYSU; 2016. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0718116-162016

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


NSYSU

4. Chung, Ming-han. Image Based Visual Servoing Using Proportional Controller with Compensator.

Degree: Master, Electrical Engineering, 2015, NSYSU

 The main objective is to design a proportional controller of a robot manipulator using the fuzzy cerebellar model articulation controller based on TakagiâSugeno (TâS) framework… (more)

Subjects/Keywords: robot Manipulator; CMAC; function approximation; visual seroing; Reinforcement learning

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APA (6th Edition):

Chung, M. (2015). Image Based Visual Servoing Using Proportional Controller with Compensator. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0205115-151732

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

Chicago Manual of Style (16th Edition):

Chung, Ming-han. “Image Based Visual Servoing Using Proportional Controller with Compensator.” 2015. Thesis, NSYSU. Accessed October 16, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0205115-151732.

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

MLA Handbook (7th Edition):

Chung, Ming-han. “Image Based Visual Servoing Using Proportional Controller with Compensator.” 2015. Web. 16 Oct 2019.

Vancouver:

Chung M. Image Based Visual Servoing Using Proportional Controller with Compensator. [Internet] [Thesis]. NSYSU; 2015. [cited 2019 Oct 16]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0205115-151732.

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

Council of Science Editors:

Chung M. Image Based Visual Servoing Using Proportional Controller with Compensator. [Thesis]. NSYSU; 2015. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0205115-151732

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


University of Michigan

5. Fredenburg, Jeffrey Alan. Noise-Shaping SAR ADCs.

Degree: PhD, Electrical Engineering, 2015, University of Michigan

 This work investigates hybrid analog-to-digital converters (ADCs) that combine the phenomenal energy efficiency of successive-approximation (SAR) ADCs with the resolution enhancement strategies used by noise-shaping… (more)

Subjects/Keywords: Analog-to-Digital Converter; Noise-shaping SAR; Successive-approximation ADC; Analog Circuits; Electrical Engineering; Engineering

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APA (6th Edition):

Fredenburg, J. A. (2015). Noise-Shaping SAR ADCs. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/113647

Chicago Manual of Style (16th Edition):

Fredenburg, Jeffrey Alan. “Noise-Shaping SAR ADCs.” 2015. Doctoral Dissertation, University of Michigan. Accessed October 16, 2019. http://hdl.handle.net/2027.42/113647.

MLA Handbook (7th Edition):

Fredenburg, Jeffrey Alan. “Noise-Shaping SAR ADCs.” 2015. Web. 16 Oct 2019.

Vancouver:

Fredenburg JA. Noise-Shaping SAR ADCs. [Internet] [Doctoral dissertation]. University of Michigan; 2015. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/2027.42/113647.

Council of Science Editors:

Fredenburg JA. Noise-Shaping SAR ADCs. [Doctoral Dissertation]. University of Michigan; 2015. Available from: http://hdl.handle.net/2027.42/113647


University of Michigan

6. Collins, Nicholas. Mismatch-Immune Successive-Approximation Techniques for Nanometer CMOS ADCs.

Degree: PhD, Electrical Engineering, 2017, University of Michigan

 During the past decade, SAR ADCs have enjoyed increasing prominence due to their inherently scaling-friendly architecture. Several recent SAR ADC innovations focus on decreasing power… (more)

Subjects/Keywords: Mismatch in SAR ADCs; Mismatch in Successive Approximation Analog-to-Digital Converters; Electrical Engineering; Engineering

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APA (6th Edition):

Collins, N. (2017). Mismatch-Immune Successive-Approximation Techniques for Nanometer CMOS ADCs. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/138630

Chicago Manual of Style (16th Edition):

Collins, Nicholas. “Mismatch-Immune Successive-Approximation Techniques for Nanometer CMOS ADCs.” 2017. Doctoral Dissertation, University of Michigan. Accessed October 16, 2019. http://hdl.handle.net/2027.42/138630.

MLA Handbook (7th Edition):

Collins, Nicholas. “Mismatch-Immune Successive-Approximation Techniques for Nanometer CMOS ADCs.” 2017. Web. 16 Oct 2019.

Vancouver:

Collins N. Mismatch-Immune Successive-Approximation Techniques for Nanometer CMOS ADCs. [Internet] [Doctoral dissertation]. University of Michigan; 2017. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/2027.42/138630.

Council of Science Editors:

Collins N. Mismatch-Immune Successive-Approximation Techniques for Nanometer CMOS ADCs. [Doctoral Dissertation]. University of Michigan; 2017. Available from: http://hdl.handle.net/2027.42/138630


NSYSU

7. Lee, Chih-wen. Adaptive Exploration Strategies for Reinforcement Learning.

Degree: Master, Electrical Engineering, 2016, NSYSU

 Reinforcement learning through an agent to learn policy use trial and error method to achieve the goal, but when we want to apply it in… (more)

Subjects/Keywords: Reinforce learning; Tabu search; State aggregation; trade-off between Exploration and Exploitation; decision tree; ε-greedy

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APA (6th Edition):

Lee, C. (2016). Adaptive Exploration Strategies for Reinforcement Learning. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0025116-130314

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

Chicago Manual of Style (16th Edition):

Lee, Chih-wen. “Adaptive Exploration Strategies for Reinforcement Learning.” 2016. Thesis, NSYSU. Accessed October 16, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0025116-130314.

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

MLA Handbook (7th Edition):

Lee, Chih-wen. “Adaptive Exploration Strategies for Reinforcement Learning.” 2016. Web. 16 Oct 2019.

Vancouver:

Lee C. Adaptive Exploration Strategies for Reinforcement Learning. [Internet] [Thesis]. NSYSU; 2016. [cited 2019 Oct 16]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0025116-130314.

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

Council of Science Editors:

Lee C. Adaptive Exploration Strategies for Reinforcement Learning. [Thesis]. NSYSU; 2016. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0025116-130314

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


University of Toledo

8. BHUJEL, MAN BAHADUR. Performance Enhancement of Data Retrieval from Episodic Memory in Soar Architecture.

Degree: MS, Electrical Engineering, 2018, University of Toledo

 Episodic memory has been the key component of various intelligent and cognitive architecture that includes the autobiographical events of past experiences. The implementation of episodic… (more)

Subjects/Keywords: Electrical Engineering; Soar Architecture; Episodic Retrieval; Base-level Activation; Petrovs Approximation; Structural Graph Matching; Backtracking; Arc-Consistency; Cue-matching

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APA (6th Edition):

BHUJEL, M. B. (2018). Performance Enhancement of Data Retrieval from Episodic Memory in Soar Architecture. (Masters Thesis). University of Toledo. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=toledo1524837171020967

Chicago Manual of Style (16th Edition):

BHUJEL, MAN BAHADUR. “Performance Enhancement of Data Retrieval from Episodic Memory in Soar Architecture.” 2018. Masters Thesis, University of Toledo. Accessed October 16, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1524837171020967.

MLA Handbook (7th Edition):

BHUJEL, MAN BAHADUR. “Performance Enhancement of Data Retrieval from Episodic Memory in Soar Architecture.” 2018. Web. 16 Oct 2019.

Vancouver:

BHUJEL MB. Performance Enhancement of Data Retrieval from Episodic Memory in Soar Architecture. [Internet] [Masters thesis]. University of Toledo; 2018. [cited 2019 Oct 16]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1524837171020967.

Council of Science Editors:

BHUJEL MB. Performance Enhancement of Data Retrieval from Episodic Memory in Soar Architecture. [Masters Thesis]. University of Toledo; 2018. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1524837171020967


University of Dayton

9. Almutiry, Muhannad Salem S. Extraction of Weak Target Features from Radar Tomographic Imagery.

Degree: PhD, Electrical Engineering, 2016, University of Dayton

 Radio Frequency (RF) Tomography is a mathematical process of 3D image reconstruction from a measurement using a multistatic distribution of transmitters and receivers. The geometric… (more)

Subjects/Keywords: Electrical Engineering; Born Approximation; Radar imaging; synthetic aperture radar; Microwave imaging; ground penetrating radar; Radio frequency tomography

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APA (6th Edition):

Almutiry, M. S. S. (2016). Extraction of Weak Target Features from Radar Tomographic Imagery. (Doctoral Dissertation). University of Dayton. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=dayton1470154676

Chicago Manual of Style (16th Edition):

Almutiry, Muhannad Salem S. “Extraction of Weak Target Features from Radar Tomographic Imagery.” 2016. Doctoral Dissertation, University of Dayton. Accessed October 16, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1470154676.

MLA Handbook (7th Edition):

Almutiry, Muhannad Salem S. “Extraction of Weak Target Features from Radar Tomographic Imagery.” 2016. Web. 16 Oct 2019.

Vancouver:

Almutiry MSS. Extraction of Weak Target Features from Radar Tomographic Imagery. [Internet] [Doctoral dissertation]. University of Dayton; 2016. [cited 2019 Oct 16]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=dayton1470154676.

Council of Science Editors:

Almutiry MSS. Extraction of Weak Target Features from Radar Tomographic Imagery. [Doctoral Dissertation]. University of Dayton; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=dayton1470154676


Rochester Institute of Technology

10. Glauser, Lincoln. The Design of a 24-bit Hardware Gaussian Noise Generator via the Box-Muller Method and its Error Analysis.

Degree: MS, Electrical Engineering, 2017, Rochester Institute of Technology

  In regards to data transmission in communication systems, there is need for robust emulation of communication channels via Gaussian noise generation. Over time, larger… (more)

Subjects/Keywords: Noise generators; Random number generation; Approximation methods; Error analysis; Optimization methods; Gaussian processes; Parity check codes

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APA (6th Edition):

Glauser, L. (2017). The Design of a 24-bit Hardware Gaussian Noise Generator via the Box-Muller Method and its Error Analysis. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9572

Chicago Manual of Style (16th Edition):

Glauser, Lincoln. “The Design of a 24-bit Hardware Gaussian Noise Generator via the Box-Muller Method and its Error Analysis.” 2017. Masters Thesis, Rochester Institute of Technology. Accessed October 16, 2019. https://scholarworks.rit.edu/theses/9572.

MLA Handbook (7th Edition):

Glauser, Lincoln. “The Design of a 24-bit Hardware Gaussian Noise Generator via the Box-Muller Method and its Error Analysis.” 2017. Web. 16 Oct 2019.

Vancouver:

Glauser L. The Design of a 24-bit Hardware Gaussian Noise Generator via the Box-Muller Method and its Error Analysis. [Internet] [Masters thesis]. Rochester Institute of Technology; 2017. [cited 2019 Oct 16]. Available from: https://scholarworks.rit.edu/theses/9572.

Council of Science Editors:

Glauser L. The Design of a 24-bit Hardware Gaussian Noise Generator via the Box-Muller Method and its Error Analysis. [Masters Thesis]. Rochester Institute of Technology; 2017. Available from: https://scholarworks.rit.edu/theses/9572


Rochester Institute of Technology

11. Graydon, Tucker B. Novel Detection and Analysis using Deep Variational Autoencoders.

Degree: MS, Electrical Engineering, 2018, Rochester Institute of Technology

  This paper presents a Novel Identification System which uses generative modeling techniques and Gaussian Mixture Models (GMMs) to identify the main process variables involved… (more)

Subjects/Keywords: Fault detection; Feature extraction; Machine learning; One class classification; Statistical modeling

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APA (6th Edition):

Graydon, T. B. (2018). Novel Detection and Analysis using Deep Variational Autoencoders. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9897

Chicago Manual of Style (16th Edition):

Graydon, Tucker B. “Novel Detection and Analysis using Deep Variational Autoencoders.” 2018. Masters Thesis, Rochester Institute of Technology. Accessed October 16, 2019. https://scholarworks.rit.edu/theses/9897.

MLA Handbook (7th Edition):

Graydon, Tucker B. “Novel Detection and Analysis using Deep Variational Autoencoders.” 2018. Web. 16 Oct 2019.

Vancouver:

Graydon TB. Novel Detection and Analysis using Deep Variational Autoencoders. [Internet] [Masters thesis]. Rochester Institute of Technology; 2018. [cited 2019 Oct 16]. Available from: https://scholarworks.rit.edu/theses/9897.

Council of Science Editors:

Graydon TB. Novel Detection and Analysis using Deep Variational Autoencoders. [Masters Thesis]. Rochester Institute of Technology; 2018. Available from: https://scholarworks.rit.edu/theses/9897


Rochester Institute of Technology

12. Kumar, Sriram. Learning Robust and Discriminative Manifold Representations for Pattern Recognition.

Degree: MS, Electrical Engineering, 2016, Rochester Institute of Technology

  Face and object recognition find applications in domains such as biometrics, surveillance and human computer interaction. An important component in any recognition pipeline is… (more)

Subjects/Keywords: Computer vision; Image processing; Machine learning; Pattern recognition; Statistical signal processing

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APA (6th Edition):

Kumar, S. (2016). Learning Robust and Discriminative Manifold Representations for Pattern Recognition. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/8983

Chicago Manual of Style (16th Edition):

Kumar, Sriram. “Learning Robust and Discriminative Manifold Representations for Pattern Recognition.” 2016. Masters Thesis, Rochester Institute of Technology. Accessed October 16, 2019. https://scholarworks.rit.edu/theses/8983.

MLA Handbook (7th Edition):

Kumar, Sriram. “Learning Robust and Discriminative Manifold Representations for Pattern Recognition.” 2016. Web. 16 Oct 2019.

Vancouver:

Kumar S. Learning Robust and Discriminative Manifold Representations for Pattern Recognition. [Internet] [Masters thesis]. Rochester Institute of Technology; 2016. [cited 2019 Oct 16]. Available from: https://scholarworks.rit.edu/theses/8983.

Council of Science Editors:

Kumar S. Learning Robust and Discriminative Manifold Representations for Pattern Recognition. [Masters Thesis]. Rochester Institute of Technology; 2016. Available from: https://scholarworks.rit.edu/theses/8983


University of Notre Dame

13. Zhiqian Chang. Statistical Reconstruction and Simultaneous Parameter Estimation for Iterative X-ray Computed Tomography</h1>.

Degree: PhD, Electrical Engineering, 2017, University of Notre Dame

Statistical iterative image reconstruction methods for X-ray computed tomography (CT) have, over the past few years, shown promise in maintaining diagnostic image quality across… (more)

Subjects/Keywords: Adaptive Regularization; Joint Estimation; Statistical Modeling; Computed Tomography; Image Reconstruction; Bayesian Inference

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APA (6th Edition):

Chang, Z. (2017). Statistical Reconstruction and Simultaneous Parameter Estimation for Iterative X-ray Computed Tomography</h1>. (Doctoral Dissertation). University of Notre Dame. Retrieved from https://curate.nd.edu/show/41687h16c89

Chicago Manual of Style (16th Edition):

Chang, Zhiqian. “Statistical Reconstruction and Simultaneous Parameter Estimation for Iterative X-ray Computed Tomography</h1>.” 2017. Doctoral Dissertation, University of Notre Dame. Accessed October 16, 2019. https://curate.nd.edu/show/41687h16c89.

MLA Handbook (7th Edition):

Chang, Zhiqian. “Statistical Reconstruction and Simultaneous Parameter Estimation for Iterative X-ray Computed Tomography</h1>.” 2017. Web. 16 Oct 2019.

Vancouver:

Chang Z. Statistical Reconstruction and Simultaneous Parameter Estimation for Iterative X-ray Computed Tomography</h1>. [Internet] [Doctoral dissertation]. University of Notre Dame; 2017. [cited 2019 Oct 16]. Available from: https://curate.nd.edu/show/41687h16c89.

Council of Science Editors:

Chang Z. Statistical Reconstruction and Simultaneous Parameter Estimation for Iterative X-ray Computed Tomography</h1>. [Doctoral Dissertation]. University of Notre Dame; 2017. Available from: https://curate.nd.edu/show/41687h16c89


University of Akron

14. Le, Anh Duc. Fundamental Limits of Communication Channels under Non-Gaussian Interference.

Degree: PhD, Electrical Engineering, 2016, University of Akron

 Recent years have witnessed an exponential growth in data traffic over both wired and wireless links. This unabated growth in demand for data and dense… (more)

Subjects/Keywords: Engineering; Electrical Engineering; Communication; non-Gaussian channels; Gaussian mixture; Rayleigh fading; achievable rates; capacity; Gaussian input; discrete inputs; optimal input; piecewise linear approximation

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APA (6th Edition):

Le, A. D. (2016). Fundamental Limits of Communication Channels under Non-Gaussian Interference. (Doctoral Dissertation). University of Akron. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=akron1469011496

Chicago Manual of Style (16th Edition):

Le, Anh Duc. “Fundamental Limits of Communication Channels under Non-Gaussian Interference.” 2016. Doctoral Dissertation, University of Akron. Accessed October 16, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=akron1469011496.

MLA Handbook (7th Edition):

Le, Anh Duc. “Fundamental Limits of Communication Channels under Non-Gaussian Interference.” 2016. Web. 16 Oct 2019.

Vancouver:

Le AD. Fundamental Limits of Communication Channels under Non-Gaussian Interference. [Internet] [Doctoral dissertation]. University of Akron; 2016. [cited 2019 Oct 16]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=akron1469011496.

Council of Science Editors:

Le AD. Fundamental Limits of Communication Channels under Non-Gaussian Interference. [Doctoral Dissertation]. University of Akron; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=akron1469011496


University of Akron

15. Talarcek, Steven C. An Experimental Study of Disturbance Compensation and Control for a Fractional-Order System.

Degree: MSin Engineering, Electrical Engineering, 2018, University of Akron

 This document is an experimental study of disturbance compensation and control for a fractional-order system. The system examined is an insulated aluminum bar. A thermal… (more)

Subjects/Keywords: Electrical Engineering; Fractional-order; Open-loop control; Closed-loop control; Bridged-T control; Peltier Effect; Seebeck Effect; Joule heating; Heat conduction; Charef approximation; One-wire device

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APA (6th Edition):

Talarcek, S. C. (2018). An Experimental Study of Disturbance Compensation and Control for a Fractional-Order System. (Masters Thesis). University of Akron. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=akron1542303891784113

Chicago Manual of Style (16th Edition):

Talarcek, Steven C. “An Experimental Study of Disturbance Compensation and Control for a Fractional-Order System.” 2018. Masters Thesis, University of Akron. Accessed October 16, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=akron1542303891784113.

MLA Handbook (7th Edition):

Talarcek, Steven C. “An Experimental Study of Disturbance Compensation and Control for a Fractional-Order System.” 2018. Web. 16 Oct 2019.

Vancouver:

Talarcek SC. An Experimental Study of Disturbance Compensation and Control for a Fractional-Order System. [Internet] [Masters thesis]. University of Akron; 2018. [cited 2019 Oct 16]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=akron1542303891784113.

Council of Science Editors:

Talarcek SC. An Experimental Study of Disturbance Compensation and Control for a Fractional-Order System. [Masters Thesis]. University of Akron; 2018. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=akron1542303891784113


Wright State University

16. Campbell, Marcus James. A Simulation Method for Studying Effects of Site-Specific Clutter on SAR-GMTI Performance.

Degree: MSEE, Electrical Engineering, 2018, Wright State University

 Synthetic aperture radar (SAR) is an invaluable tool for detection of ground moving targets when combined with processing techniques of ground moving target indication (GMTI).… (more)

Subjects/Keywords: Electrical Engineering; SAR-GMTI; site-specific clutter; simulation; GMTI Performance; DPCA; SINR; statistical clutter modeling; DTED; NLCD

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APA (6th Edition):

Campbell, M. J. (2018). A Simulation Method for Studying Effects of Site-Specific Clutter on SAR-GMTI Performance. (Masters Thesis). Wright State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=wright1525351957036997

Chicago Manual of Style (16th Edition):

Campbell, Marcus James. “A Simulation Method for Studying Effects of Site-Specific Clutter on SAR-GMTI Performance.” 2018. Masters Thesis, Wright State University. Accessed October 16, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=wright1525351957036997.

MLA Handbook (7th Edition):

Campbell, Marcus James. “A Simulation Method for Studying Effects of Site-Specific Clutter on SAR-GMTI Performance.” 2018. Web. 16 Oct 2019.

Vancouver:

Campbell MJ. A Simulation Method for Studying Effects of Site-Specific Clutter on SAR-GMTI Performance. [Internet] [Masters thesis]. Wright State University; 2018. [cited 2019 Oct 16]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1525351957036997.

Council of Science Editors:

Campbell MJ. A Simulation Method for Studying Effects of Site-Specific Clutter on SAR-GMTI Performance. [Masters Thesis]. Wright State University; 2018. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1525351957036997


Vanderbilt University

17. Hasan, Saqib. Improving Resilience in Large Scale Cyber-Physical Networks.

Degree: PhD, Electrical Engineering, 2019, Vanderbilt University

 Resilience in cyber-physical systems such as electrical power systems is of paramount importance for the socio-economic welfare of the society. Based on North American Electric… (more)

Subjects/Keywords: Heuristical and Statistical Approaches; Optimization; Cyber-Physical Systems Security; Intelligent Resource Allocation; Cyber-Attacks; Cyber-Physical Systems

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APA (6th Edition):

Hasan, S. (2019). Improving Resilience in Large Scale Cyber-Physical Networks. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-02182019-134525/ ;

Chicago Manual of Style (16th Edition):

Hasan, Saqib. “Improving Resilience in Large Scale Cyber-Physical Networks.” 2019. Doctoral Dissertation, Vanderbilt University. Accessed October 16, 2019. http://etd.library.vanderbilt.edu/available/etd-02182019-134525/ ;.

MLA Handbook (7th Edition):

Hasan, Saqib. “Improving Resilience in Large Scale Cyber-Physical Networks.” 2019. Web. 16 Oct 2019.

Vancouver:

Hasan S. Improving Resilience in Large Scale Cyber-Physical Networks. [Internet] [Doctoral dissertation]. Vanderbilt University; 2019. [cited 2019 Oct 16]. Available from: http://etd.library.vanderbilt.edu/available/etd-02182019-134525/ ;.

Council of Science Editors:

Hasan S. Improving Resilience in Large Scale Cyber-Physical Networks. [Doctoral Dissertation]. Vanderbilt University; 2019. Available from: http://etd.library.vanderbilt.edu/available/etd-02182019-134525/ ;


Arizona State University

18. Dutson, Karl J. Target Tracking in Environments of Rapidly Changing Clutter.

Degree: Electrical Engineering, 2015, Arizona State University

 Tracking targets in the presence of clutter is inevitable, and presents many challenges. Additionally, rapid, drastic changes in clutter density between different environments or scenarios… (more)

Subjects/Keywords: Electrical engineering; Statistics; Computer science; Clutter Mitigation; Electrical Engineering; Interacting Multiple Model; Monte Carlo Methods; Radar Target Tracking; Statistical Signal Processing

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

APA (6th Edition):

Dutson, K. J. (2015). Target Tracking in Environments of Rapidly Changing Clutter. (Masters Thesis). Arizona State University. Retrieved from http://repository.asu.edu/items/29894

Chicago Manual of Style (16th Edition):

Dutson, Karl J. “Target Tracking in Environments of Rapidly Changing Clutter.” 2015. Masters Thesis, Arizona State University. Accessed October 16, 2019. http://repository.asu.edu/items/29894.

MLA Handbook (7th Edition):

Dutson, Karl J. “Target Tracking in Environments of Rapidly Changing Clutter.” 2015. Web. 16 Oct 2019.

Vancouver:

Dutson KJ. Target Tracking in Environments of Rapidly Changing Clutter. [Internet] [Masters thesis]. Arizona State University; 2015. [cited 2019 Oct 16]. Available from: http://repository.asu.edu/items/29894.

Council of Science Editors:

Dutson KJ. Target Tracking in Environments of Rapidly Changing Clutter. [Masters Thesis]. Arizona State University; 2015. Available from: http://repository.asu.edu/items/29894


Texas A&M University

19. Sundararaj, Sanjhana. Predicting Academic Performance of Potential Electrical Engineering Majors.

Degree: MS, Electrical Engineering, 2017, Texas A&M University

 Data Analytics for education is fast growing into an important part of higher learning institutions, which helps to improve student success rate and decision-making with… (more)

Subjects/Keywords: Education analytics; Machine Learning; Predictive Modeling; Classification; Prediction Performance Analysis; Statistical Analysis; Feature selection; Independence Models; Naive Bayes; Feature Interaction; Decision Tree; Random Forest; Support Vector Machines; Metric Learning; Kernel; Model Comparisons

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APA (6th Edition):

Sundararaj, S. (2017). Predicting Academic Performance of Potential Electrical Engineering Majors. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/165880

Chicago Manual of Style (16th Edition):

Sundararaj, Sanjhana. “Predicting Academic Performance of Potential Electrical Engineering Majors.” 2017. Masters Thesis, Texas A&M University. Accessed October 16, 2019. http://hdl.handle.net/1969.1/165880.

MLA Handbook (7th Edition):

Sundararaj, Sanjhana. “Predicting Academic Performance of Potential Electrical Engineering Majors.” 2017. Web. 16 Oct 2019.

Vancouver:

Sundararaj S. Predicting Academic Performance of Potential Electrical Engineering Majors. [Internet] [Masters thesis]. Texas A&M University; 2017. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1969.1/165880.

Council of Science Editors:

Sundararaj S. Predicting Academic Performance of Potential Electrical Engineering Majors. [Masters Thesis]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/165880

20. Wu, Wei. Conventional and Machine Learning Assisted High Sigma Analysis.

Degree: Electrical Engineering, 2016, UCLA

Statistical circuit simulation exhibits increasing importance for circuit designs under process variations. In particular, high sigma analysis is needed to optimize highly-duplicated standard cells, where… (more)

Subjects/Keywords: Electrical engineering; High Sigma Analysis; Importance Sampling; Machine Learning; Monte Carlo; Process Variation; Statistical Analysis

…REscope: High-dimensional Statistical Circuit Simulation towards Full Failure Region Coverage… …x28;e.g., PDF and CDF) of circuit performance. Several other statistical methodologies… …x5B;GYH11] take advantage of padé approximation by matching the probabilistic moments… …statistical approaches for rare event modeling are proposed in the passed decade, which can be… …focuses on process variation modeling and analysis using numerical and statistical techniques… 

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APA (6th Edition):

Wu, W. (2016). Conventional and Machine Learning Assisted High Sigma Analysis. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/67q1601f

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

Chicago Manual of Style (16th Edition):

Wu, Wei. “Conventional and Machine Learning Assisted High Sigma Analysis.” 2016. Thesis, UCLA. Accessed October 16, 2019. http://www.escholarship.org/uc/item/67q1601f.

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

MLA Handbook (7th Edition):

Wu, Wei. “Conventional and Machine Learning Assisted High Sigma Analysis.” 2016. Web. 16 Oct 2019.

Vancouver:

Wu W. Conventional and Machine Learning Assisted High Sigma Analysis. [Internet] [Thesis]. UCLA; 2016. [cited 2019 Oct 16]. Available from: http://www.escholarship.org/uc/item/67q1601f.

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

Council of Science Editors:

Wu W. Conventional and Machine Learning Assisted High Sigma Analysis. [Thesis]. UCLA; 2016. Available from: http://www.escholarship.org/uc/item/67q1601f

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

21. Zhou, Qi. An Integrated Neuroimaging Approach for the Prediction and Analysis of Alzheimer’s Disease and its Prodromal Stages.

Degree: PhD, Electrical Engineering, 2015, Florida International University

  This dissertation proposes to combine magnetic resonance imaging (MRI), positron emission tomography (PET) and a neuropsychological test, Mini-Mental State Examination (MMSE), as input to… (more)

Subjects/Keywords: Alzheimer's Disease; Classification; Prediction; Machine Learning; Statistical Analysis; Neuroimage; Electrical and Computer Engineering; Neuroscience and Neurobiology

…79 Table 20: Statistical significance of cortical volumes by lobes… …81 xi Table 21: Statistical significance of cortical thickness by lobes… …82 Table 22: Statistical significance of surface area by lobes… …83 Table 23: Statistical significance of subcortical volumes by lobes… …84 Table 24: Statistical significance of hippocampus subfields and PET features… 

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APA (6th Edition):

Zhou, Q. (2015). An Integrated Neuroimaging Approach for the Prediction and Analysis of Alzheimer’s Disease and its Prodromal Stages. (Doctoral Dissertation). Florida International University. Retrieved from http://digitalcommons.fiu.edu/etd/2229 ; 10.25148/etd.FIDC000070 ; FIDC000070

Chicago Manual of Style (16th Edition):

Zhou, Qi. “An Integrated Neuroimaging Approach for the Prediction and Analysis of Alzheimer’s Disease and its Prodromal Stages.” 2015. Doctoral Dissertation, Florida International University. Accessed October 16, 2019. http://digitalcommons.fiu.edu/etd/2229 ; 10.25148/etd.FIDC000070 ; FIDC000070.

MLA Handbook (7th Edition):

Zhou, Qi. “An Integrated Neuroimaging Approach for the Prediction and Analysis of Alzheimer’s Disease and its Prodromal Stages.” 2015. Web. 16 Oct 2019.

Vancouver:

Zhou Q. An Integrated Neuroimaging Approach for the Prediction and Analysis of Alzheimer’s Disease and its Prodromal Stages. [Internet] [Doctoral dissertation]. Florida International University; 2015. [cited 2019 Oct 16]. Available from: http://digitalcommons.fiu.edu/etd/2229 ; 10.25148/etd.FIDC000070 ; FIDC000070.

Council of Science Editors:

Zhou Q. An Integrated Neuroimaging Approach for the Prediction and Analysis of Alzheimer’s Disease and its Prodromal Stages. [Doctoral Dissertation]. Florida International University; 2015. Available from: http://digitalcommons.fiu.edu/etd/2229 ; 10.25148/etd.FIDC000070 ; FIDC000070


Arizona State University

22. Schweitzer, Eran. Creating, Validating, and Using Synthetic Power Flow Cases: A Statistical Approach to Power System Analysis.

Degree: Electrical Engineering, 2019, Arizona State University

Subjects/Keywords: Electrical engineering; Energy; Optimzation; Power Flow; Power Systems; Statistical Distributions; Synthetic Test Cases; Transmission and Distribution

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APA (6th Edition):

Schweitzer, E. (2019). Creating, Validating, and Using Synthetic Power Flow Cases: A Statistical Approach to Power System Analysis. (Doctoral Dissertation). Arizona State University. Retrieved from http://repository.asu.edu/items/53482

Chicago Manual of Style (16th Edition):

Schweitzer, Eran. “Creating, Validating, and Using Synthetic Power Flow Cases: A Statistical Approach to Power System Analysis.” 2019. Doctoral Dissertation, Arizona State University. Accessed October 16, 2019. http://repository.asu.edu/items/53482.

MLA Handbook (7th Edition):

Schweitzer, Eran. “Creating, Validating, and Using Synthetic Power Flow Cases: A Statistical Approach to Power System Analysis.” 2019. Web. 16 Oct 2019.

Vancouver:

Schweitzer E. Creating, Validating, and Using Synthetic Power Flow Cases: A Statistical Approach to Power System Analysis. [Internet] [Doctoral dissertation]. Arizona State University; 2019. [cited 2019 Oct 16]. Available from: http://repository.asu.edu/items/53482.

Council of Science Editors:

Schweitzer E. Creating, Validating, and Using Synthetic Power Flow Cases: A Statistical Approach to Power System Analysis. [Doctoral Dissertation]. Arizona State University; 2019. Available from: http://repository.asu.edu/items/53482

23. Sheng, Weitian. A Full Wave Electromagnetic Framework for Optimization and Uncertainty Quantification of Communication Systems in Underground Mine Environments.

Degree: PhD, Electrical Engineering, 2018, University of Michigan

 Wireless communication, sensing, and tracking systems in mine environments are essential for protecting miners’ safety and daily operations. The design, deployment, and post-event reconfiguration of… (more)

Subjects/Keywords: Mine Environment, Electromagnetic, Wave Propagation, Domain Decomposition, FMM-FFT, Statistical Analysis, Optimization; Electrical Engineering; Engineering

…produce statistical insights. The first simulator is a fast multipole method – fast Fourier… …optics approximation) or the geometry (e.g. waveguide model) limiting their… …statistical characterization and wireless network (re)configurations. As an effort to… …However, the MC method requires many deterministic simulations to yield accurate statistical… …approximation (i.e. surrogate model) of each EM observable as a function of the uncertain… 

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

APA (6th Edition):

Sheng, W. (2018). A Full Wave Electromagnetic Framework for Optimization and Uncertainty Quantification of Communication Systems in Underground Mine Environments. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/146028

Chicago Manual of Style (16th Edition):

Sheng, Weitian. “A Full Wave Electromagnetic Framework for Optimization and Uncertainty Quantification of Communication Systems in Underground Mine Environments.” 2018. Doctoral Dissertation, University of Michigan. Accessed October 16, 2019. http://hdl.handle.net/2027.42/146028.

MLA Handbook (7th Edition):

Sheng, Weitian. “A Full Wave Electromagnetic Framework for Optimization and Uncertainty Quantification of Communication Systems in Underground Mine Environments.” 2018. Web. 16 Oct 2019.

Vancouver:

Sheng W. A Full Wave Electromagnetic Framework for Optimization and Uncertainty Quantification of Communication Systems in Underground Mine Environments. [Internet] [Doctoral dissertation]. University of Michigan; 2018. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/2027.42/146028.

Council of Science Editors:

Sheng W. A Full Wave Electromagnetic Framework for Optimization and Uncertainty Quantification of Communication Systems in Underground Mine Environments. [Doctoral Dissertation]. University of Michigan; 2018. Available from: http://hdl.handle.net/2027.42/146028

.