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You searched for +publisher:"Georgia Tech" +contributor:("Romberg, Justin"). Showing records 1 – 30 of 56 total matches.

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Georgia Tech

1. Luo, Chenchi. Non-uniform sampling: algorithms and architectures.

Degree: PhD, Electrical and Computer Engineering, 2012, Georgia Tech

 Modern signal processing applications emerging in telecommunication and instrumentation industries have placed an increasing demand for ADCs with higher speed and resolution. The most fundamental… (more)

Subjects/Keywords: TIADC; Farrow structure; Compressive sensing; Sparsity; Analog-to-digital converters; Sampling (Statistics); Algorithms; Signal processing; Signal processing Digital techniques

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APA (6th Edition):

Luo, C. (2012). Non-uniform sampling: algorithms and architectures. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/45873

Chicago Manual of Style (16th Edition):

Luo, Chenchi. “Non-uniform sampling: algorithms and architectures.” 2012. Doctoral Dissertation, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/45873.

MLA Handbook (7th Edition):

Luo, Chenchi. “Non-uniform sampling: algorithms and architectures.” 2012. Web. 22 Sep 2019.

Vancouver:

Luo C. Non-uniform sampling: algorithms and architectures. [Internet] [Doctoral dissertation]. Georgia Tech; 2012. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/45873.

Council of Science Editors:

Luo C. Non-uniform sampling: algorithms and architectures. [Doctoral Dissertation]. Georgia Tech; 2012. Available from: http://hdl.handle.net/1853/45873


Georgia Tech

2. Shih, Ping-Chang. Joint variational camera calibration refinement and 4-D stereo reconstruction applied to oceanic sea states.

Degree: PhD, Electrical and Computer Engineering, 2014, Georgia Tech

 In this thesis, an innovative algorithm for improving the accuracy of variational space-time stereoscopic reconstruction of ocean surfaces is presented. The space-time reconstruction method, developed… (more)

Subjects/Keywords: Stereo computer vision; Camera calibration; 3-D reconstruction; Variational

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APA (6th Edition):

Shih, P. (2014). Joint variational camera calibration refinement and 4-D stereo reconstruction applied to oceanic sea states. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/52320

Chicago Manual of Style (16th Edition):

Shih, Ping-Chang. “Joint variational camera calibration refinement and 4-D stereo reconstruction applied to oceanic sea states.” 2014. Doctoral Dissertation, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/52320.

MLA Handbook (7th Edition):

Shih, Ping-Chang. “Joint variational camera calibration refinement and 4-D stereo reconstruction applied to oceanic sea states.” 2014. Web. 22 Sep 2019.

Vancouver:

Shih P. Joint variational camera calibration refinement and 4-D stereo reconstruction applied to oceanic sea states. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/52320.

Council of Science Editors:

Shih P. Joint variational camera calibration refinement and 4-D stereo reconstruction applied to oceanic sea states. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/52320


Georgia Tech

3. Xia, Dong. Statistical inference for large matrices.

Degree: PhD, Mathematics, 2016, Georgia Tech

 This thesis covers two topics on matrix analysis and estimation in machine learning and statistics. The first topic is about density matrix estimation with application… (more)

Subjects/Keywords: Low rank; Matrix estimation; Singular vectors; Random perturbation

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APA (6th Edition):

Xia, D. (2016). Statistical inference for large matrices. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55632

Chicago Manual of Style (16th Edition):

Xia, Dong. “Statistical inference for large matrices.” 2016. Doctoral Dissertation, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/55632.

MLA Handbook (7th Edition):

Xia, Dong. “Statistical inference for large matrices.” 2016. Web. 22 Sep 2019.

Vancouver:

Xia D. Statistical inference for large matrices. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/55632.

Council of Science Editors:

Xia D. Statistical inference for large matrices. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/55632


Georgia Tech

4. Zou, Jun. Social computing for personalization and credible information mining using probabilistic graphical models.

Degree: PhD, Electrical and Computer Engineering, 2016, Georgia Tech

 In this dissertation, we address challenging social computing problems in personalized recommender systems and social media information mining. We tap into probabilistic graphical models, including… (more)

Subjects/Keywords: Social computing; Recommender systems; Collaborative filtering; Belief propagation; Probabilistic graphical models

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APA (6th Edition):

Zou, J. (2016). Social computing for personalization and credible information mining using probabilistic graphical models. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55646

Chicago Manual of Style (16th Edition):

Zou, Jun. “Social computing for personalization and credible information mining using probabilistic graphical models.” 2016. Doctoral Dissertation, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/55646.

MLA Handbook (7th Edition):

Zou, Jun. “Social computing for personalization and credible information mining using probabilistic graphical models.” 2016. Web. 22 Sep 2019.

Vancouver:

Zou J. Social computing for personalization and credible information mining using probabilistic graphical models. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/55646.

Council of Science Editors:

Zou J. Social computing for personalization and credible information mining using probabilistic graphical models. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/55646


Georgia Tech

5. Lee, Jungwon. Efficient image compression system using a CMOS transform imager.

Degree: PhD, Electrical and Computer Engineering, 2009, Georgia Tech

 This research focuses on the implementation of the efficient image compression system among the many potential applications of a transform imager system. The study includes… (more)

Subjects/Keywords: Index reordering; Wavelet; CMOS imager; Vector quantization; Image compression; Metal oxide semiconductors, Complementary; Image compression; Algorithms

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APA (6th Edition):

Lee, J. (2009). Efficient image compression system using a CMOS transform imager. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/31825

Chicago Manual of Style (16th Edition):

Lee, Jungwon. “Efficient image compression system using a CMOS transform imager.” 2009. Doctoral Dissertation, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/31825.

MLA Handbook (7th Edition):

Lee, Jungwon. “Efficient image compression system using a CMOS transform imager.” 2009. Web. 22 Sep 2019.

Vancouver:

Lee J. Efficient image compression system using a CMOS transform imager. [Internet] [Doctoral dissertation]. Georgia Tech; 2009. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/31825.

Council of Science Editors:

Lee J. Efficient image compression system using a CMOS transform imager. [Doctoral Dissertation]. Georgia Tech; 2009. Available from: http://hdl.handle.net/1853/31825


Georgia Tech

6. Ma, Chengyuan. A detection-based pattern recognition framework and its applications.

Degree: PhD, Electrical and Computer Engineering, 2010, Georgia Tech

 The objective of this dissertation is to present a detection-based pattern recognition framework and demonstrate its applications in automatic speech recognition and broadcast news video… (more)

Subjects/Keywords: Speech recognition; Detection-based; Evidence fusion; Pattern recognition systems; Automatic speech recognition; Digital video

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APA (6th Edition):

Ma, C. (2010). A detection-based pattern recognition framework and its applications. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/33889

Chicago Manual of Style (16th Edition):

Ma, Chengyuan. “A detection-based pattern recognition framework and its applications.” 2010. Doctoral Dissertation, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/33889.

MLA Handbook (7th Edition):

Ma, Chengyuan. “A detection-based pattern recognition framework and its applications.” 2010. Web. 22 Sep 2019.

Vancouver:

Ma C. A detection-based pattern recognition framework and its applications. [Internet] [Doctoral dissertation]. Georgia Tech; 2010. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/33889.

Council of Science Editors:

Ma C. A detection-based pattern recognition framework and its applications. [Doctoral Dissertation]. Georgia Tech; 2010. Available from: http://hdl.handle.net/1853/33889


Georgia Tech

7. Ralli, Peter Sharp. Curvature and isoperimetry in graphs.

Degree: PhD, Mathematics, 2017, Georgia Tech

 This dissertation concerns isoperimetric and functional inequalities in discrete spaces. The majority of the work concerns discrete notions of curvature. There is also discussion of… (more)

Subjects/Keywords: Combinatorics; Graph theory; Discrete geometry

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APA (6th Edition):

Ralli, P. S. (2017). Curvature and isoperimetry in graphs. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59221

Chicago Manual of Style (16th Edition):

Ralli, Peter Sharp. “Curvature and isoperimetry in graphs.” 2017. Doctoral Dissertation, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/59221.

MLA Handbook (7th Edition):

Ralli, Peter Sharp. “Curvature and isoperimetry in graphs.” 2017. Web. 22 Sep 2019.

Vancouver:

Ralli PS. Curvature and isoperimetry in graphs. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/59221.

Council of Science Editors:

Ralli PS. Curvature and isoperimetry in graphs. [Doctoral Dissertation]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/59221


Georgia Tech

8. Gupta, Udit. Towards development of no-reference objective measures for perceptual evaluation of singing voice separation.

Degree: PhD, Electrical and Computer Engineering, 2017, Georgia Tech

 Singing Voice Separation (SVS) uses audio source separation methods to isolate the vocal component from the background accompaniment in a song mix. A key challenge… (more)

Subjects/Keywords: Source separation; Music information retrieval; Perceptual evaluation

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APA (6th Edition):

Gupta, U. (2017). Towards development of no-reference objective measures for perceptual evaluation of singing voice separation. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59749

Chicago Manual of Style (16th Edition):

Gupta, Udit. “Towards development of no-reference objective measures for perceptual evaluation of singing voice separation.” 2017. Doctoral Dissertation, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/59749.

MLA Handbook (7th Edition):

Gupta, Udit. “Towards development of no-reference objective measures for perceptual evaluation of singing voice separation.” 2017. Web. 22 Sep 2019.

Vancouver:

Gupta U. Towards development of no-reference objective measures for perceptual evaluation of singing voice separation. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/59749.

Council of Science Editors:

Gupta U. Towards development of no-reference objective measures for perceptual evaluation of singing voice separation. [Doctoral Dissertation]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/59749


Georgia Tech

9. Wells, Joshua W. Content-adaptive cross-layer optimized video processing using real-time feature feedback.

Degree: PhD, Electrical and Computer Engineering, 2017, Georgia Tech

 The objective of this research is to design a low-power video processing system capable of minimizing power consumption through graceful reduction of the quality of… (more)

Subjects/Keywords: Video processing; Video encoding; Object tracking; Low power; Error tolerant; Content adaptive

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APA (6th Edition):

Wells, J. W. (2017). Content-adaptive cross-layer optimized video processing using real-time feature feedback. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59751

Chicago Manual of Style (16th Edition):

Wells, Joshua W. “Content-adaptive cross-layer optimized video processing using real-time feature feedback.” 2017. Doctoral Dissertation, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/59751.

MLA Handbook (7th Edition):

Wells, Joshua W. “Content-adaptive cross-layer optimized video processing using real-time feature feedback.” 2017. Web. 22 Sep 2019.

Vancouver:

Wells JW. Content-adaptive cross-layer optimized video processing using real-time feature feedback. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/59751.

Council of Science Editors:

Wells JW. Content-adaptive cross-layer optimized video processing using real-time feature feedback. [Doctoral Dissertation]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/59751


Georgia Tech

10. Fair, Kaitlin Lindsay. A biologically plausible sparse approximation solver on neuromorphic hardware.

Degree: PhD, Electrical and Computer Engineering, 2017, Georgia Tech

 We develop a novel design methodology to map the biologically plausible Locally Competitive Algorithm (LCA) to the brain-inspired TrueNorth chip to solve for the sparse… (more)

Subjects/Keywords: Neuromorphic; Bio-inspired; TrueNorth; Sparsity; Sparse approximation

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APA (6th Edition):

Fair, K. L. (2017). A biologically plausible sparse approximation solver on neuromorphic hardware. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59782

Chicago Manual of Style (16th Edition):

Fair, Kaitlin Lindsay. “A biologically plausible sparse approximation solver on neuromorphic hardware.” 2017. Doctoral Dissertation, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/59782.

MLA Handbook (7th Edition):

Fair, Kaitlin Lindsay. “A biologically plausible sparse approximation solver on neuromorphic hardware.” 2017. Web. 22 Sep 2019.

Vancouver:

Fair KL. A biologically plausible sparse approximation solver on neuromorphic hardware. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/59782.

Council of Science Editors:

Fair KL. A biologically plausible sparse approximation solver on neuromorphic hardware. [Doctoral Dissertation]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/59782


Georgia Tech

11. Nichols, Brendan. Exploiting ambient noise for coherent processing of mobile vector sensor arrays.

Degree: PhD, Mechanical Engineering, 2018, Georgia Tech

 A network of mobile sensors, such as vector sensors mounted to drifting floats, can be used as an array for locating acoustic sources in an… (more)

Subjects/Keywords: Ambient noise; Coherent processing; Beamforming; Vector sensor; Array signal processing; Stochastic search; Experimental data; Noise correlation

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APA (6th Edition):

Nichols, B. (2018). Exploiting ambient noise for coherent processing of mobile vector sensor arrays. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59897

Chicago Manual of Style (16th Edition):

Nichols, Brendan. “Exploiting ambient noise for coherent processing of mobile vector sensor arrays.” 2018. Doctoral Dissertation, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/59897.

MLA Handbook (7th Edition):

Nichols, Brendan. “Exploiting ambient noise for coherent processing of mobile vector sensor arrays.” 2018. Web. 22 Sep 2019.

Vancouver:

Nichols B. Exploiting ambient noise for coherent processing of mobile vector sensor arrays. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/59897.

Council of Science Editors:

Nichols B. Exploiting ambient noise for coherent processing of mobile vector sensor arrays. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/59897


Georgia Tech

12. Tian, Ning. Multichannel blind deconvolution in underwater acoustic channels.

Degree: PhD, Electrical and Computer Engineering, 2018, Georgia Tech

 This thesis developed new techniques for solving the multichannel blind deconvolution problem and implemented these techniques in acoustic waveguide multiple environment. We developed a systematic… (more)

Subjects/Keywords: Multichannel blind deconvolution; Low-rank recovery; Cross-convolution methods; Non-convex optimizations

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APA (6th Edition):

Tian, N. (2018). Multichannel blind deconvolution in underwater acoustic channels. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59906

Chicago Manual of Style (16th Edition):

Tian, Ning. “Multichannel blind deconvolution in underwater acoustic channels.” 2018. Doctoral Dissertation, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/59906.

MLA Handbook (7th Edition):

Tian, Ning. “Multichannel blind deconvolution in underwater acoustic channels.” 2018. Web. 22 Sep 2019.

Vancouver:

Tian N. Multichannel blind deconvolution in underwater acoustic channels. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/59906.

Council of Science Editors:

Tian N. Multichannel blind deconvolution in underwater acoustic channels. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/59906


Georgia Tech

13. Whitaker, Bradley M. Modifying sparse coding to model imbalanced datasets.

Degree: PhD, Electrical and Computer Engineering, 2018, Georgia Tech

 The objective of this research is to explore the use of sparse coding as a tool for unsupervised feature learning to more effectively model imbalanced… (more)

Subjects/Keywords: Sparse coding; Imbalanced data; Machine learning

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APA (6th Edition):

Whitaker, B. M. (2018). Modifying sparse coding to model imbalanced datasets. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59919

Chicago Manual of Style (16th Edition):

Whitaker, Bradley M. “Modifying sparse coding to model imbalanced datasets.” 2018. Doctoral Dissertation, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/59919.

MLA Handbook (7th Edition):

Whitaker, Bradley M. “Modifying sparse coding to model imbalanced datasets.” 2018. Web. 22 Sep 2019.

Vancouver:

Whitaker BM. Modifying sparse coding to model imbalanced datasets. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/59919.

Council of Science Editors:

Whitaker BM. Modifying sparse coding to model imbalanced datasets. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/59919


Georgia Tech

14. Zafar, Munzir. Whole Body Control of Wheeled Inverted Pendulum Humanoids.

Degree: PhD, Electrical and Computer Engineering, 2019, Georgia Tech

 A framework for controlling a Wheeled Inverted Pendulum (WIP) Humanoid to perform useful interactions with the environment, while dynamically balancing itself on two wheels, was… (more)

Subjects/Keywords: Whole Body Control; Wheeled Inverted Pendulum; Humanoids; Hierarchical; Optimization; Operational Space; Model Predictive Control

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APA (6th Edition):

Zafar, M. (2019). Whole Body Control of Wheeled Inverted Pendulum Humanoids. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61739

Chicago Manual of Style (16th Edition):

Zafar, Munzir. “Whole Body Control of Wheeled Inverted Pendulum Humanoids.” 2019. Doctoral Dissertation, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/61739.

MLA Handbook (7th Edition):

Zafar, Munzir. “Whole Body Control of Wheeled Inverted Pendulum Humanoids.” 2019. Web. 22 Sep 2019.

Vancouver:

Zafar M. Whole Body Control of Wheeled Inverted Pendulum Humanoids. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/61739.

Council of Science Editors:

Zafar M. Whole Body Control of Wheeled Inverted Pendulum Humanoids. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/61739

15. Somoye, Idris Olansile. GPU accelerated adaptive compressed sensing.

Degree: MS, Electrical and Computer Engineering, 2016, Georgia Tech

 There are presently image sensors based around compressed sensing that apply the fundamental theory to video acquisition; however, these imagers require specialized hardware modules that… (more)

Subjects/Keywords: GPU; Compressed sensing; GPGPU; Predictive video encoding

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APA (6th Edition):

Somoye, I. O. (2016). GPU accelerated adaptive compressed sensing. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/56379

Chicago Manual of Style (16th Edition):

Somoye, Idris Olansile. “GPU accelerated adaptive compressed sensing.” 2016. Masters Thesis, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/56379.

MLA Handbook (7th Edition):

Somoye, Idris Olansile. “GPU accelerated adaptive compressed sensing.” 2016. Web. 22 Sep 2019.

Vancouver:

Somoye IO. GPU accelerated adaptive compressed sensing. [Internet] [Masters thesis]. Georgia Tech; 2016. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/56379.

Council of Science Editors:

Somoye IO. GPU accelerated adaptive compressed sensing. [Masters Thesis]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/56379

16. Wong, Lok S. Optimal partitions for the fast multipole method.

Degree: MS, Electrical and Computer Engineering, 2016, Georgia Tech

 The fast multipole method is an algorithm first developed to approximately solve the N-body problem in linear time. Part of the FMM involves recursively partitioning… (more)

Subjects/Keywords: Fast multipole method; Partition

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APA (6th Edition):

Wong, L. S. (2016). Optimal partitions for the fast multipole method. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/56360

Chicago Manual of Style (16th Edition):

Wong, Lok S. “Optimal partitions for the fast multipole method.” 2016. Masters Thesis, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/56360.

MLA Handbook (7th Edition):

Wong, Lok S. “Optimal partitions for the fast multipole method.” 2016. Web. 22 Sep 2019.

Vancouver:

Wong LS. Optimal partitions for the fast multipole method. [Internet] [Masters thesis]. Georgia Tech; 2016. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/56360.

Council of Science Editors:

Wong LS. Optimal partitions for the fast multipole method. [Masters Thesis]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/56360

17. Kagie, Matthew Joseph. Time-of-arrival estimation for saturated optical transients using censored probabilistic models.

Degree: MS, Electrical and Computer Engineering, 2016, Georgia Tech

 The objective of the proposed research is to estimate the time-of-arrival of a transient optical signal subjected to a particular type of nonlinear distortion. The… (more)

Subjects/Keywords: Expectation maximization algorithms; Poisson models; Cramér-Rao bounds; Lightning; Machine learning

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APA (6th Edition):

Kagie, M. J. (2016). Time-of-arrival estimation for saturated optical transients using censored probabilistic models. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/56365

Chicago Manual of Style (16th Edition):

Kagie, Matthew Joseph. “Time-of-arrival estimation for saturated optical transients using censored probabilistic models.” 2016. Masters Thesis, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/56365.

MLA Handbook (7th Edition):

Kagie, Matthew Joseph. “Time-of-arrival estimation for saturated optical transients using censored probabilistic models.” 2016. Web. 22 Sep 2019.

Vancouver:

Kagie MJ. Time-of-arrival estimation for saturated optical transients using censored probabilistic models. [Internet] [Masters thesis]. Georgia Tech; 2016. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/56365.

Council of Science Editors:

Kagie MJ. Time-of-arrival estimation for saturated optical transients using censored probabilistic models. [Masters Thesis]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/56365

18. Tan, Edward S. Hyper-wideband OFDM system.

Degree: MS, Electrical and Computer Engineering, 2016, Georgia Tech

 Hyper-wideband communications represent the next frontier in spread spectrum RF systems with an excess of 10 GHz instantaneous bandwidth. In this thesis, an end-to-end physical… (more)

Subjects/Keywords: OFDM; Support vector regression; Hyper-wideband

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APA (6th Edition):

Tan, E. S. (2016). Hyper-wideband OFDM system. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55056

Chicago Manual of Style (16th Edition):

Tan, Edward S. “Hyper-wideband OFDM system.” 2016. Masters Thesis, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/55056.

MLA Handbook (7th Edition):

Tan, Edward S. “Hyper-wideband OFDM system.” 2016. Web. 22 Sep 2019.

Vancouver:

Tan ES. Hyper-wideband OFDM system. [Internet] [Masters thesis]. Georgia Tech; 2016. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/55056.

Council of Science Editors:

Tan ES. Hyper-wideband OFDM system. [Masters Thesis]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/55056

19. Lani, Shane W. Passive acoustic imaging and monitoring using ambient noise.

Degree: MS, Mechanical Engineering, 2012, Georgia Tech

 An approximate of the Green's function can be obtained by taking the cross-correlation of ambient noise that has been simultaneously recorded on separate sensors. This… (more)

Subjects/Keywords: Ultrasound imaging; Noise imaging; Ocean monitoring; Noise; Cross-correlation; Noise monitoring; Ambient sounds; Green's functions

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APA (6th Edition):

Lani, S. W. (2012). Passive acoustic imaging and monitoring using ambient noise. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/50136

Chicago Manual of Style (16th Edition):

Lani, Shane W. “Passive acoustic imaging and monitoring using ambient noise.” 2012. Masters Thesis, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/50136.

MLA Handbook (7th Edition):

Lani, Shane W. “Passive acoustic imaging and monitoring using ambient noise.” 2012. Web. 22 Sep 2019.

Vancouver:

Lani SW. Passive acoustic imaging and monitoring using ambient noise. [Internet] [Masters thesis]. Georgia Tech; 2012. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/50136.

Council of Science Editors:

Lani SW. Passive acoustic imaging and monitoring using ambient noise. [Masters Thesis]. Georgia Tech; 2012. Available from: http://hdl.handle.net/1853/50136

20. Colón, Guillermo J. Avian musing feature space analysis.

Degree: MS, Electrical and Computer Engineering, 2012, Georgia Tech

 The purpose of this study was to analyze the possibility of utilizing known signal processing and machine learning algorithms to correlate environmental data to chicken… (more)

Subjects/Keywords: Broiler; Chicken; Feature; Audio; Segmentation; Signal processing Digital techniques; Machine learning; Sound production by animals; Chickens Vocalization

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APA (6th Edition):

Colón, G. J. (2012). Avian musing feature space analysis. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/44754

Chicago Manual of Style (16th Edition):

Colón, Guillermo J. “Avian musing feature space analysis.” 2012. Masters Thesis, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/44754.

MLA Handbook (7th Edition):

Colón, Guillermo J. “Avian musing feature space analysis.” 2012. Web. 22 Sep 2019.

Vancouver:

Colón GJ. Avian musing feature space analysis. [Internet] [Masters thesis]. Georgia Tech; 2012. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/44754.

Council of Science Editors:

Colón GJ. Avian musing feature space analysis. [Masters Thesis]. Georgia Tech; 2012. Available from: http://hdl.handle.net/1853/44754

21. Shaban, Fahad. Application of L1 reconstruction of sparse signals to ambiguity resolution in radar.

Degree: MS, Electrical and Computer Engineering, 2013, Georgia Tech

 The objective of the proposed research is to develop a new algorithm for range and Doppler ambiguity resolution in radar detection data using L1 minimization… (more)

Subjects/Keywords: Ambiguity resolution; Pulse Doppler radars; Sparse reconstruction; Multiple PRFs; L1 minimization; Radar; Signal detection; Sparse matrices

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APA (6th Edition):

Shaban, F. (2013). Application of L1 reconstruction of sparse signals to ambiguity resolution in radar. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/47637

Chicago Manual of Style (16th Edition):

Shaban, Fahad. “Application of L1 reconstruction of sparse signals to ambiguity resolution in radar.” 2013. Masters Thesis, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/47637.

MLA Handbook (7th Edition):

Shaban, Fahad. “Application of L1 reconstruction of sparse signals to ambiguity resolution in radar.” 2013. Web. 22 Sep 2019.

Vancouver:

Shaban F. Application of L1 reconstruction of sparse signals to ambiguity resolution in radar. [Internet] [Masters thesis]. Georgia Tech; 2013. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/47637.

Council of Science Editors:

Shaban F. Application of L1 reconstruction of sparse signals to ambiguity resolution in radar. [Masters Thesis]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/47637


Georgia Tech

22. Bales, Michael Ryan. Illumination compensation in video surveillance analysis.

Degree: PhD, Electrical and Computer Engineering, 2011, Georgia Tech

 Problems in automated video surveillance analysis caused by illumination changes are explored, and solutions are presented. Controlled experiments are first conducted to measure the responses… (more)

Subjects/Keywords: Tracking; Color; Computer vision; Background model; BigBackground; Illumination change; Video surveillance; Lighting; Video recording Lighting

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APA (6th Edition):

Bales, M. R. (2011). Illumination compensation in video surveillance analysis. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/39535

Chicago Manual of Style (16th Edition):

Bales, Michael Ryan. “Illumination compensation in video surveillance analysis.” 2011. Doctoral Dissertation, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/39535.

MLA Handbook (7th Edition):

Bales, Michael Ryan. “Illumination compensation in video surveillance analysis.” 2011. Web. 22 Sep 2019.

Vancouver:

Bales MR. Illumination compensation in video surveillance analysis. [Internet] [Doctoral dissertation]. Georgia Tech; 2011. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/39535.

Council of Science Editors:

Bales MR. Illumination compensation in video surveillance analysis. [Doctoral Dissertation]. Georgia Tech; 2011. Available from: http://hdl.handle.net/1853/39535


Georgia Tech

23. Zachariah, Nishant. Prospective and retrospective retooling of magnetic resonance imaging.

Degree: PhD, Electrical and Computer Engineering, 2017, Georgia Tech

 At its heart, signal processing can be broken down into two broad categories based on a single core principle: attaining a signal based objective (higher… (more)

Subjects/Keywords: Harmonic analysis; Signal processing; Magnetic resonance imaging; Non convex regularization; Acceleration imaging; Inverse problems

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APA (6th Edition):

Zachariah, N. (2017). Prospective and retrospective retooling of magnetic resonance imaging. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60111

Chicago Manual of Style (16th Edition):

Zachariah, Nishant. “Prospective and retrospective retooling of magnetic resonance imaging.” 2017. Doctoral Dissertation, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/60111.

MLA Handbook (7th Edition):

Zachariah, Nishant. “Prospective and retrospective retooling of magnetic resonance imaging.” 2017. Web. 22 Sep 2019.

Vancouver:

Zachariah N. Prospective and retrospective retooling of magnetic resonance imaging. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/60111.

Council of Science Editors:

Zachariah N. Prospective and retrospective retooling of magnetic resonance imaging. [Doctoral Dissertation]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/60111

24. Moon, Thomas. Testing and characterization of high-speed signals using incoherent undersampling driven signal reconstruction algorithms.

Degree: PhD, Electrical and Computer Engineering, 2015, Georgia Tech

 The objective of the proposed research is to develop a framework for the signal reconstruction algorithm with sub-Nyquist sampling rate and the low-cost hardware design… (more)

Subjects/Keywords: High-speed signal characterization; Sub-Nyquist rate reconstruction; Direct subsampling; Low-cost test

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APA (6th Edition):

Moon, T. (2015). Testing and characterization of high-speed signals using incoherent undersampling driven signal reconstruction algorithms. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54326

Chicago Manual of Style (16th Edition):

Moon, Thomas. “Testing and characterization of high-speed signals using incoherent undersampling driven signal reconstruction algorithms.” 2015. Doctoral Dissertation, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/54326.

MLA Handbook (7th Edition):

Moon, Thomas. “Testing and characterization of high-speed signals using incoherent undersampling driven signal reconstruction algorithms.” 2015. Web. 22 Sep 2019.

Vancouver:

Moon T. Testing and characterization of high-speed signals using incoherent undersampling driven signal reconstruction algorithms. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/54326.

Council of Science Editors:

Moon T. Testing and characterization of high-speed signals using incoherent undersampling driven signal reconstruction algorithms. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/54326

25. Lin, Chung-Ching. Detecting and tracking moving objects from a moving platform.

Degree: PhD, Electrical and Computer Engineering, 2012, Georgia Tech

 Detecting and tracking moving objects are important topics in computer vision research. Classical methods perform well in applications of steady cameras. However, these techniques are… (more)

Subjects/Keywords: Object detection; Object tracking; Bayesian decision rule; Belief propagation; Particle filter; Computer vision; Image processing; Algorithms; Pattern recognition systems

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APA (6th Edition):

Lin, C. (2012). Detecting and tracking moving objects from a moving platform. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/49014

Chicago Manual of Style (16th Edition):

Lin, Chung-Ching. “Detecting and tracking moving objects from a moving platform.” 2012. Doctoral Dissertation, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/49014.

MLA Handbook (7th Edition):

Lin, Chung-Ching. “Detecting and tracking moving objects from a moving platform.” 2012. Web. 22 Sep 2019.

Vancouver:

Lin C. Detecting and tracking moving objects from a moving platform. [Internet] [Doctoral dissertation]. Georgia Tech; 2012. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/49014.

Council of Science Editors:

Lin C. Detecting and tracking moving objects from a moving platform. [Doctoral Dissertation]. Georgia Tech; 2012. Available from: http://hdl.handle.net/1853/49014

26. Mantzel, William. Parametric estimation of randomly compressed functions.

Degree: PhD, Electrical and Computer Engineering, 2013, Georgia Tech

 Within the last decade, a new type of signal acquisition has emerged called Compressive Sensing that has proven especially useful in providing a recoverable representation… (more)

Subjects/Keywords: Compressed sensing; Acoustic localization; Matched-field processing; Parametric estimation; Signal processing; Differential equations, Partial; Differential equations; Signal processing Digital techniques; Signal processing Digital techniques Mathematics

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APA (6th Edition):

Mantzel, W. (2013). Parametric estimation of randomly compressed functions. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/49053

Chicago Manual of Style (16th Edition):

Mantzel, William. “Parametric estimation of randomly compressed functions.” 2013. Doctoral Dissertation, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/49053.

MLA Handbook (7th Edition):

Mantzel, William. “Parametric estimation of randomly compressed functions.” 2013. Web. 22 Sep 2019.

Vancouver:

Mantzel W. Parametric estimation of randomly compressed functions. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/49053.

Council of Science Editors:

Mantzel W. Parametric estimation of randomly compressed functions. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/49053

27. Robucci, Ryan Wayne. Development of a computational image sensor with applications in integrated sensing and processing.

Degree: PhD, Electrical and Computer Engineering, 2009, Georgia Tech

 The objective of this research was to build a reprogrammable computational imager utilizing on-chip analog computations for the purpose of studying the capabilities of integrated… (more)

Subjects/Keywords: Computational CMOS Image Sensor; Imaging systems; Image processing; Detectors; Integrated circuits

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APA (6th Edition):

Robucci, R. W. (2009). Development of a computational image sensor with applications in integrated sensing and processing. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/33943

Chicago Manual of Style (16th Edition):

Robucci, Ryan Wayne. “Development of a computational image sensor with applications in integrated sensing and processing.” 2009. Doctoral Dissertation, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/33943.

MLA Handbook (7th Edition):

Robucci, Ryan Wayne. “Development of a computational image sensor with applications in integrated sensing and processing.” 2009. Web. 22 Sep 2019.

Vancouver:

Robucci RW. Development of a computational image sensor with applications in integrated sensing and processing. [Internet] [Doctoral dissertation]. Georgia Tech; 2009. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/33943.

Council of Science Editors:

Robucci RW. Development of a computational image sensor with applications in integrated sensing and processing. [Doctoral Dissertation]. Georgia Tech; 2009. Available from: http://hdl.handle.net/1853/33943

28. Dai, Rui. Correlation-based communication in wireless multimedia sensor networks.

Degree: PhD, Electrical and Computer Engineering, 2011, Georgia Tech

 Wireless multimedia sensor networks (WMSNs) are networks of interconnected devices that allow retrieving video and audio streams, still images, and scalar data from the environment.… (more)

Subjects/Keywords: Communication protocols; Wireless sensor networks; Spatial correlation; Source coding; QoS; Multimedia; Wireless communication systems; Source code (Computer science); Computer science; Multimedia communications; Multimedia systems

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APA (6th Edition):

Dai, R. (2011). Correlation-based communication in wireless multimedia sensor networks. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/42736

Chicago Manual of Style (16th Edition):

Dai, Rui. “Correlation-based communication in wireless multimedia sensor networks.” 2011. Doctoral Dissertation, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/42736.

MLA Handbook (7th Edition):

Dai, Rui. “Correlation-based communication in wireless multimedia sensor networks.” 2011. Web. 22 Sep 2019.

Vancouver:

Dai R. Correlation-based communication in wireless multimedia sensor networks. [Internet] [Doctoral dissertation]. Georgia Tech; 2011. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/42736.

Council of Science Editors:

Dai R. Correlation-based communication in wireless multimedia sensor networks. [Doctoral Dissertation]. Georgia Tech; 2011. Available from: http://hdl.handle.net/1853/42736

29. Sconyers, Christopher. Particle filter-based architecture for video target tracking and geo-location using multiple UAVs.

Degree: PhD, Electrical and Computer Engineering, 2013, Georgia Tech

 Research in the areas of target detection, tracking, and geo-location is most important for enabling an unmanned aerial vehicle (UAV) platform to autonomously execute a… (more)

Subjects/Keywords: Rotorcraft; Localization; Monte Carlo; Particle filter; Multi-modal; State space; Observer; Gimbal; Markov; Drone aircraft; Target acquisition

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APA (6th Edition):

Sconyers, C. (2013). Particle filter-based architecture for video target tracking and geo-location using multiple UAVs. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/47734

Chicago Manual of Style (16th Edition):

Sconyers, Christopher. “Particle filter-based architecture for video target tracking and geo-location using multiple UAVs.” 2013. Doctoral Dissertation, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/47734.

MLA Handbook (7th Edition):

Sconyers, Christopher. “Particle filter-based architecture for video target tracking and geo-location using multiple UAVs.” 2013. Web. 22 Sep 2019.

Vancouver:

Sconyers C. Particle filter-based architecture for video target tracking and geo-location using multiple UAVs. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/47734.

Council of Science Editors:

Sconyers C. Particle filter-based architecture for video target tracking and geo-location using multiple UAVs. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/47734

30. Asif, Muhammad Salman. Dynamic compressive sensing: sparse recovery algorithms for streaming signals and video.

Degree: PhD, Electrical and Computer Engineering, 2013, Georgia Tech

 This thesis presents compressive sensing algorithms that utilize system dynamics in the sparse signal recovery process. These dynamics may arise due to a time-varying signal,… (more)

Subjects/Keywords: L1 norm minimization; Homotopy; Dynamic MRI; Kalman filter; Streaming technology (Telecommunications); Streaming video; Signal processing; Computer vision; Signal processing Digital techniques Mathematics

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APA (6th Edition):

Asif, M. S. (2013). Dynamic compressive sensing: sparse recovery algorithms for streaming signals and video. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/49106

Chicago Manual of Style (16th Edition):

Asif, Muhammad Salman. “Dynamic compressive sensing: sparse recovery algorithms for streaming signals and video.” 2013. Doctoral Dissertation, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/49106.

MLA Handbook (7th Edition):

Asif, Muhammad Salman. “Dynamic compressive sensing: sparse recovery algorithms for streaming signals and video.” 2013. Web. 22 Sep 2019.

Vancouver:

Asif MS. Dynamic compressive sensing: sparse recovery algorithms for streaming signals and video. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/49106.

Council of Science Editors:

Asif MS. Dynamic compressive sensing: sparse recovery algorithms for streaming signals and video. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/49106

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