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You searched for +publisher:"Georgia Tech" +contributor:("Anderson, David V."). Showing records 1 – 30 of 39 total matches.

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Georgia Tech

1. Lim, Juho. Faster than Nyquist signaling based on energy spreading transform and ideal energy spreading transform.

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

 The objective of this thesis is to develop a Faster than Nyquist Signaling (FTNS) scheme which is grounded on EST based Iterative Decision Feedback Equalization… (more)

Subjects/Keywords: Energy spreading transform; Faster than Nyquist signaling; FTN; FTNS; EST

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APA (6th Edition):

Lim, J. (2016). Faster than Nyquist signaling based on energy spreading transform and ideal energy spreading transform. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55533

Chicago Manual of Style (16th Edition):

Lim, Juho. “Faster than Nyquist signaling based on energy spreading transform and ideal energy spreading transform.” 2016. Masters Thesis, Georgia Tech. Accessed September 17, 2019. http://hdl.handle.net/1853/55533.

MLA Handbook (7th Edition):

Lim, Juho. “Faster than Nyquist signaling based on energy spreading transform and ideal energy spreading transform.” 2016. Web. 17 Sep 2019.

Vancouver:

Lim J. Faster than Nyquist signaling based on energy spreading transform and ideal energy spreading transform. [Internet] [Masters thesis]. Georgia Tech; 2016. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/1853/55533.

Council of Science Editors:

Lim J. Faster than Nyquist signaling based on energy spreading transform and ideal energy spreading transform. [Masters Thesis]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/55533


Georgia Tech

2. Gong, Yunyi. Design of switch-less silicon-germanium bi-directional amplifier for loss compensation in passive transmit/receive modules.

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

 The objective of the proposed research is to investigate the design of switch-less bi-directional amplifier (BDA) for loss compensation in passive transmit/receive (T/R) modules, using… (more)

Subjects/Keywords: Bi-directional; Phased array; SiGe BiCMOS

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APA (6th Edition):

Gong, Y. (2018). Design of switch-less silicon-germanium bi-directional amplifier for loss compensation in passive transmit/receive modules. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61129

Chicago Manual of Style (16th Edition):

Gong, Yunyi. “Design of switch-less silicon-germanium bi-directional amplifier for loss compensation in passive transmit/receive modules.” 2018. Masters Thesis, Georgia Tech. Accessed September 17, 2019. http://hdl.handle.net/1853/61129.

MLA Handbook (7th Edition):

Gong, Yunyi. “Design of switch-less silicon-germanium bi-directional amplifier for loss compensation in passive transmit/receive modules.” 2018. Web. 17 Sep 2019.

Vancouver:

Gong Y. Design of switch-less silicon-germanium bi-directional amplifier for loss compensation in passive transmit/receive modules. [Internet] [Masters thesis]. Georgia Tech; 2018. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/1853/61129.

Council of Science Editors:

Gong Y. Design of switch-less silicon-germanium bi-directional amplifier for loss compensation in passive transmit/receive modules. [Masters Thesis]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/61129


Georgia Tech

3. Altaf, Muhammad Umair Bin. Environmental sounds: acquisition, analysis, and representation.

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

 The dissertation presents the design and development of a systematic signal analysis and representation framework beyond short-time Fourier power spectrum for sounds, in particular environmental… (more)

Subjects/Keywords: Environmental sounds; Digital signal processing

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APA (6th Edition):

Altaf, M. U. B. (2015). Environmental sounds: acquisition, analysis, and representation. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53953

Chicago Manual of Style (16th Edition):

Altaf, Muhammad Umair Bin. “Environmental sounds: acquisition, analysis, and representation.” 2015. Doctoral Dissertation, Georgia Tech. Accessed September 17, 2019. http://hdl.handle.net/1853/53953.

MLA Handbook (7th Edition):

Altaf, Muhammad Umair Bin. “Environmental sounds: acquisition, analysis, and representation.” 2015. Web. 17 Sep 2019.

Vancouver:

Altaf MUB. Environmental sounds: acquisition, analysis, and representation. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/1853/53953.

Council of Science Editors:

Altaf MUB. Environmental sounds: acquisition, analysis, and representation. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/53953


Georgia Tech

4. Kim, Ha Yang. Modeling and tracking time-varying clock drifts in wireless networks.

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

 Clock synchronization is one of fundamental requirements in distributed networks. However, the imperfection of crystal oscillators is a potential hurdle for network-wide collaboration and degrades… (more)

Subjects/Keywords: Clock synchronization; Clock drift; Measurement

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APA (6th Edition):

Kim, H. Y. (2014). Modeling and tracking time-varying clock drifts in wireless networks. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53988

Chicago Manual of Style (16th Edition):

Kim, Ha Yang. “Modeling and tracking time-varying clock drifts in wireless networks.” 2014. Doctoral Dissertation, Georgia Tech. Accessed September 17, 2019. http://hdl.handle.net/1853/53988.

MLA Handbook (7th Edition):

Kim, Ha Yang. “Modeling and tracking time-varying clock drifts in wireless networks.” 2014. Web. 17 Sep 2019.

Vancouver:

Kim HY. Modeling and tracking time-varying clock drifts in wireless networks. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/1853/53988.

Council of Science Editors:

Kim HY. Modeling and tracking time-varying clock drifts in wireless networks. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/53988


Georgia Tech

5. Kim, Jonathan Chongkang. Classification of affect using novel voice and visual features.

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

 Emotion adds an important element to the discussion of how information is conveyed and processed by humans; indeed, it plays an important role in the… (more)

Subjects/Keywords: Speech signal processing; Machine learning; Classifier fusion; Multimodal analysis; Emotion; Affective computing; Human behavior analysis; Speech production

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APA (6th Edition):

Kim, J. C. (2014). Classification of affect using novel voice and visual features. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54301

Chicago Manual of Style (16th Edition):

Kim, Jonathan Chongkang. “Classification of affect using novel voice and visual features.” 2014. Doctoral Dissertation, Georgia Tech. Accessed September 17, 2019. http://hdl.handle.net/1853/54301.

MLA Handbook (7th Edition):

Kim, Jonathan Chongkang. “Classification of affect using novel voice and visual features.” 2014. Web. 17 Sep 2019.

Vancouver:

Kim JC. Classification of affect using novel voice and visual features. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/1853/54301.

Council of Science Editors:

Kim JC. Classification of affect using novel voice and visual features. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/54301


Georgia Tech

6. Cho, Mikyung. Analog predistortion for improvement of RF power amplifier efficiency and linearity.

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

 The objective of this research is to implement analog systems that enable highly efficient and linear operations of the RF PAs used in wireless communication… (more)

Subjects/Keywords: RF; Power amplifier; Predistortion; Linearization

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APA (6th Edition):

Cho, M. (2016). Analog predistortion for improvement of RF power amplifier efficiency and linearity. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55648

Chicago Manual of Style (16th Edition):

Cho, Mikyung. “Analog predistortion for improvement of RF power amplifier efficiency and linearity.” 2016. Doctoral Dissertation, Georgia Tech. Accessed September 17, 2019. http://hdl.handle.net/1853/55648.

MLA Handbook (7th Edition):

Cho, Mikyung. “Analog predistortion for improvement of RF power amplifier efficiency and linearity.” 2016. Web. 17 Sep 2019.

Vancouver:

Cho M. Analog predistortion for improvement of RF power amplifier efficiency and linearity. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/1853/55648.

Council of Science Editors:

Cho M. Analog predistortion for improvement of RF power amplifier efficiency and linearity. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/55648


Georgia Tech

7. Temel, Dogancan. Understanding perceived quality through visual representations.

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

 The formatting of images can be considered as an optimization problem, whose cost function is a quality assessment algorithm. There is a trade-off between bit… (more)

Subjects/Keywords: Perceived quality; Visual system; Contrast sensitivity; Suppression; Color perception; Color name; Color difference; Unsupervised learning; Spatial pooling; Boosting

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APA (6th Edition):

Temel, D. (2016). Understanding perceived quality through visual representations. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/56289

Chicago Manual of Style (16th Edition):

Temel, Dogancan. “Understanding perceived quality through visual representations.” 2016. Doctoral Dissertation, Georgia Tech. Accessed September 17, 2019. http://hdl.handle.net/1853/56289.

MLA Handbook (7th Edition):

Temel, Dogancan. “Understanding perceived quality through visual representations.” 2016. Web. 17 Sep 2019.

Vancouver:

Temel D. Understanding perceived quality through visual representations. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/1853/56289.

Council of Science Editors:

Temel D. Understanding perceived quality through visual representations. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/56289


Georgia Tech

8. Nguyen, Van. Non-contact physiologically related motion sensing with ultra-wideband impulse radar.

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

 Impulse Radio Ultra-wideband (IR-UWB) radar is a promising tool for non-contact, non-invasive sensing of physiological parameters, which could be valuable in identifying or preventing clinical… (more)

Subjects/Keywords: Non-contact; UWB radar; Heart rate estimation; Respiration rate estimation; Chest displacement estimation; Posture change detection; Vital signs monitoring

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APA (6th Edition):

Nguyen, V. (2016). Non-contact physiologically related motion sensing with ultra-wideband impulse radar. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59142

Chicago Manual of Style (16th Edition):

Nguyen, Van. “Non-contact physiologically related motion sensing with ultra-wideband impulse radar.” 2016. Doctoral Dissertation, Georgia Tech. Accessed September 17, 2019. http://hdl.handle.net/1853/59142.

MLA Handbook (7th Edition):

Nguyen, Van. “Non-contact physiologically related motion sensing with ultra-wideband impulse radar.” 2016. Web. 17 Sep 2019.

Vancouver:

Nguyen V. Non-contact physiologically related motion sensing with ultra-wideband impulse radar. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/1853/59142.

Council of Science Editors:

Nguyen V. Non-contact physiologically related motion sensing with ultra-wideband impulse radar. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/59142


Georgia Tech

9. Ashouri, Hazar. Robust estimation of systolic time intervals using ballistocardiogram and seismocardiogram signals.

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

 The objective of this dissertation is to Pave the way for non-invasive out-of-clinic monitoring of patients with heart failure using systolic time intervals (STIs) obtained… (more)

Subjects/Keywords: Seimocardiogram; Ballistocadiogram; Heart failure; Systolic time intervals

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APA (6th Edition):

Ashouri, H. (2017). Robust estimation of systolic time intervals using ballistocardiogram and seismocardiogram signals. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59819

Chicago Manual of Style (16th Edition):

Ashouri, Hazar. “Robust estimation of systolic time intervals using ballistocardiogram and seismocardiogram signals.” 2017. Doctoral Dissertation, Georgia Tech. Accessed September 17, 2019. http://hdl.handle.net/1853/59819.

MLA Handbook (7th Edition):

Ashouri, Hazar. “Robust estimation of systolic time intervals using ballistocardiogram and seismocardiogram signals.” 2017. Web. 17 Sep 2019.

Vancouver:

Ashouri H. Robust estimation of systolic time intervals using ballistocardiogram and seismocardiogram signals. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/1853/59819.

Council of Science Editors:

Ashouri H. Robust estimation of systolic time intervals using ballistocardiogram and seismocardiogram signals. [Doctoral Dissertation]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/59819


Georgia Tech

10. Shafiq, Muhammad Amir. Computational seismic interpretation using attention models, texture dissimilarity, and learning.

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

 The exploration of oil and gas is a vital part of today's increasing power demands to meet the energy we need to power our homes,… (more)

Subjects/Keywords: Seismic interpretation; Automation; Gradient of texture; Visual saliency; Salsi; SeisSal; Unsupervised learning; Autoencoder; 3D FFT; Multispectral projections; Directional center-surround; Feature maps; Human visual system; Texture dissimilarity; F3 block; Netherlands; North Sea; SEAM; Great South Basin; New Zealand; Stratton; Listric faults; Texas Gulf Coast; Sparse classification

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APA (6th Edition):

Shafiq, M. A. (2018). Computational seismic interpretation using attention models, texture dissimilarity, and learning. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59889

Chicago Manual of Style (16th Edition):

Shafiq, Muhammad Amir. “Computational seismic interpretation using attention models, texture dissimilarity, and learning.” 2018. Doctoral Dissertation, Georgia Tech. Accessed September 17, 2019. http://hdl.handle.net/1853/59889.

MLA Handbook (7th Edition):

Shafiq, Muhammad Amir. “Computational seismic interpretation using attention models, texture dissimilarity, and learning.” 2018. Web. 17 Sep 2019.

Vancouver:

Shafiq MA. Computational seismic interpretation using attention models, texture dissimilarity, and learning. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/1853/59889.

Council of Science Editors:

Shafiq MA. Computational seismic interpretation using attention models, texture dissimilarity, and learning. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/59889


Georgia Tech

11. 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 17, 2019. http://hdl.handle.net/1853/59919.

MLA Handbook (7th Edition):

Whitaker, Bradley M. “Modifying sparse coding to model imbalanced datasets.” 2018. Web. 17 Sep 2019.

Vancouver:

Whitaker BM. Modifying sparse coding to model imbalanced datasets. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Sep 17]. 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

12. Masood, Mir. Digitally-Assisted, Efficiency Enhanced, Linear RF Power Amplifier Architectures.

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

 This dissertation presents the use of advanced digital techniques in the development of efficiency enhanced, linearized power amplifier (PA) architectures. In this research, digital enhancements… (more)

Subjects/Keywords: pre-distortion; power amplifier; Doherty

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APA (6th Edition):

Masood, M. (2018). Digitally-Assisted, Efficiency Enhanced, Linear RF Power Amplifier Architectures. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61115

Chicago Manual of Style (16th Edition):

Masood, Mir. “Digitally-Assisted, Efficiency Enhanced, Linear RF Power Amplifier Architectures.” 2018. Doctoral Dissertation, Georgia Tech. Accessed September 17, 2019. http://hdl.handle.net/1853/61115.

MLA Handbook (7th Edition):

Masood, Mir. “Digitally-Assisted, Efficiency Enhanced, Linear RF Power Amplifier Architectures.” 2018. Web. 17 Sep 2019.

Vancouver:

Masood M. Digitally-Assisted, Efficiency Enhanced, Linear RF Power Amplifier Architectures. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/1853/61115.

Council of Science Editors:

Masood M. Digitally-Assisted, Efficiency Enhanced, Linear RF Power Amplifier Architectures. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/61115


Georgia Tech

13. Odelowo, Babafemi. DEVELOPMENT OF A NEURAL NETWORK-BASED SPEECH ENHANCEMENT SYSTEM.

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

 Neural networks are powerful machine learning models that have, in the last few years, been applied to several audio and speech signal processing problems including… (more)

Subjects/Keywords: Speech enhancement; Noise reduction; Speech quality; Speech intelligibility; Extreme learning machines (ELM); Deep neural networks; Supervised learning; Post processing

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APA (6th Edition):

Odelowo, B. (2018). DEVELOPMENT OF A NEURAL NETWORK-BASED SPEECH ENHANCEMENT SYSTEM. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61617

Chicago Manual of Style (16th Edition):

Odelowo, Babafemi. “DEVELOPMENT OF A NEURAL NETWORK-BASED SPEECH ENHANCEMENT SYSTEM.” 2018. Doctoral Dissertation, Georgia Tech. Accessed September 17, 2019. http://hdl.handle.net/1853/61617.

MLA Handbook (7th Edition):

Odelowo, Babafemi. “DEVELOPMENT OF A NEURAL NETWORK-BASED SPEECH ENHANCEMENT SYSTEM.” 2018. Web. 17 Sep 2019.

Vancouver:

Odelowo B. DEVELOPMENT OF A NEURAL NETWORK-BASED SPEECH ENHANCEMENT SYSTEM. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/1853/61617.

Council of Science Editors:

Odelowo B. DEVELOPMENT OF A NEURAL NETWORK-BASED SPEECH ENHANCEMENT SYSTEM. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/61617


Georgia Tech

14. Zhu, Lijun. Seismic Processing via Machine Learning for Event Detection and Phase Picking.

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

 A feasible solution for seismic event detection and phase picking is prototyped on an embedded system with seismic sensors using a lightweight convolutional neural network… (more)

Subjects/Keywords: Machine Learning; Seismic; Phase Picking; CNN

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APA (6th Edition):

Zhu, L. (2019). Seismic Processing via Machine Learning for Event Detection and Phase Picking. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61770

Chicago Manual of Style (16th Edition):

Zhu, Lijun. “Seismic Processing via Machine Learning for Event Detection and Phase Picking.” 2019. Doctoral Dissertation, Georgia Tech. Accessed September 17, 2019. http://hdl.handle.net/1853/61770.

MLA Handbook (7th Edition):

Zhu, Lijun. “Seismic Processing via Machine Learning for Event Detection and Phase Picking.” 2019. Web. 17 Sep 2019.

Vancouver:

Zhu L. Seismic Processing via Machine Learning for Event Detection and Phase Picking. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/1853/61770.

Council of Science Editors:

Zhu L. Seismic Processing via Machine Learning for Event Detection and Phase Picking. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/61770


Georgia Tech

15. Omer, Mohammad. Towards harmonious coexistence : linear and nonlinear techniques for interference management in RFICs.

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

 This thesis has sought to provide another look at RF interference at the fundamental level. While previous interference control and regulation methods have existed in… (more)

Subjects/Keywords: RF; Nonlinear modeling; PAPR; Volterra series; Adaptive filters; Radio frequency integrated circuits; Radio Interference; Radio frequency; Wireless communication systems

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APA (6th Edition):

Omer, M. (2013). Towards harmonious coexistence : linear and nonlinear techniques for interference management in RFICs. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/51938

Chicago Manual of Style (16th Edition):

Omer, Mohammad. “Towards harmonious coexistence : linear and nonlinear techniques for interference management in RFICs.” 2013. Doctoral Dissertation, Georgia Tech. Accessed September 17, 2019. http://hdl.handle.net/1853/51938.

MLA Handbook (7th Edition):

Omer, Mohammad. “Towards harmonious coexistence : linear and nonlinear techniques for interference management in RFICs.” 2013. Web. 17 Sep 2019.

Vancouver:

Omer M. Towards harmonious coexistence : linear and nonlinear techniques for interference management in RFICs. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/1853/51938.

Council of Science Editors:

Omer M. Towards harmonious coexistence : linear and nonlinear techniques for interference management in RFICs. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/51938


Georgia Tech

16. Wick, Carson A. Detection and prediction of cardiac quiescence for computed tomography coronary angiography.

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

 The objective of this work is to improve the diagnostic quality and reduce the radiation dose of computed tomography coronary angiography (CTCA) imaging by developing… (more)

Subjects/Keywords: CT; CTCA; Angiography; Seismocardiography; Echocardiography

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APA (6th Edition):

Wick, C. A. (2014). Detection and prediction of cardiac quiescence for computed tomography coronary angiography. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/52242

Chicago Manual of Style (16th Edition):

Wick, Carson A. “Detection and prediction of cardiac quiescence for computed tomography coronary angiography.” 2014. Doctoral Dissertation, Georgia Tech. Accessed September 17, 2019. http://hdl.handle.net/1853/52242.

MLA Handbook (7th Edition):

Wick, Carson A. “Detection and prediction of cardiac quiescence for computed tomography coronary angiography.” 2014. Web. 17 Sep 2019.

Vancouver:

Wick CA. Detection and prediction of cardiac quiescence for computed tomography coronary angiography. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/1853/52242.

Council of Science Editors:

Wick CA. Detection and prediction of cardiac quiescence for computed tomography coronary angiography. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/52242


Georgia Tech

17. Toreyin, Hakan. Design of a low-power interface circuitry for a vestibular prosthesis system.

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

 The human vestibular system is responsible for maintaining balance and orientation, and stabilizing gaze during head motion. Head motion is sensed by vestibular sensors and… (more)

Subjects/Keywords: Vestibular prosthesis ASIC; Analog signal processing

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APA (6th Edition):

Toreyin, H. (2014). Design of a low-power interface circuitry for a vestibular prosthesis system. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54018

Chicago Manual of Style (16th Edition):

Toreyin, Hakan. “Design of a low-power interface circuitry for a vestibular prosthesis system.” 2014. Doctoral Dissertation, Georgia Tech. Accessed September 17, 2019. http://hdl.handle.net/1853/54018.

MLA Handbook (7th Edition):

Toreyin, Hakan. “Design of a low-power interface circuitry for a vestibular prosthesis system.” 2014. Web. 17 Sep 2019.

Vancouver:

Toreyin H. Design of a low-power interface circuitry for a vestibular prosthesis system. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/1853/54018.

Council of Science Editors:

Toreyin H. Design of a low-power interface circuitry for a vestibular prosthesis system. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/54018


Georgia Tech

18. Javaid, Abdul Qadir Qadir. Multi-sensor signal processing methods for home monitoring of cardiovascular and respiratory diseases.

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

 Cardiovascular and respiratory diseases are leading contributors of health problems in the world. The existing home monitoring devices for cardio-respiratory health are obtrusive and incapable… (more)

Subjects/Keywords: Ballistocardiogram; Seismocardiogram; Home monitoring

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APA (6th Edition):

Javaid, A. Q. Q. (2016). Multi-sensor signal processing methods for home monitoring of cardiovascular and respiratory diseases. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55627

Chicago Manual of Style (16th Edition):

Javaid, Abdul Qadir Qadir. “Multi-sensor signal processing methods for home monitoring of cardiovascular and respiratory diseases.” 2016. Doctoral Dissertation, Georgia Tech. Accessed September 17, 2019. http://hdl.handle.net/1853/55627.

MLA Handbook (7th Edition):

Javaid, Abdul Qadir Qadir. “Multi-sensor signal processing methods for home monitoring of cardiovascular and respiratory diseases.” 2016. Web. 17 Sep 2019.

Vancouver:

Javaid AQQ. Multi-sensor signal processing methods for home monitoring of cardiovascular and respiratory diseases. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/1853/55627.

Council of Science Editors:

Javaid AQQ. Multi-sensor signal processing methods for home monitoring of cardiovascular and respiratory diseases. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/55627


Georgia Tech

19. Rizwan, Muhammad. Adaptation of hybrid deep neural network-hidden Markov model speech recognition system using a sub-space approach.

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

 The performance of automatic speech recognition (ASR) system can be enhanced by adaptation of the ASR for a particular speaker or a group of speakers.… (more)

Subjects/Keywords: Speaker adaptation; Adaptive phoneme classification; Deep neural networks; Accent classification

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APA (6th Edition):

Rizwan, M. (2017). Adaptation of hybrid deep neural network-hidden Markov model speech recognition system using a sub-space approach. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60171

Chicago Manual of Style (16th Edition):

Rizwan, Muhammad. “Adaptation of hybrid deep neural network-hidden Markov model speech recognition system using a sub-space approach.” 2017. Doctoral Dissertation, Georgia Tech. Accessed September 17, 2019. http://hdl.handle.net/1853/60171.

MLA Handbook (7th Edition):

Rizwan, Muhammad. “Adaptation of hybrid deep neural network-hidden Markov model speech recognition system using a sub-space approach.” 2017. Web. 17 Sep 2019.

Vancouver:

Rizwan M. Adaptation of hybrid deep neural network-hidden Markov model speech recognition system using a sub-space approach. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/1853/60171.

Council of Science Editors:

Rizwan M. Adaptation of hybrid deep neural network-hidden Markov model speech recognition system using a sub-space approach. [Doctoral Dissertation]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/60171


Georgia Tech

20. Kang, Jinwoo. Face recognition for vehicle personalization.

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

 The objective of this dissertation is to develop a system of practical technologies to implement an illumination robust, consumer grade biometric system based on face… (more)

Subjects/Keywords: Face recognition; Face detection; Near infrared; Image alignment; Image fusion

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APA (6th Edition):

Kang, J. (2016). Face recognition for vehicle personalization. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/56260

Chicago Manual of Style (16th Edition):

Kang, Jinwoo. “Face recognition for vehicle personalization.” 2016. Doctoral Dissertation, Georgia Tech. Accessed September 17, 2019. http://hdl.handle.net/1853/56260.

MLA Handbook (7th Edition):

Kang, Jinwoo. “Face recognition for vehicle personalization.” 2016. Web. 17 Sep 2019.

Vancouver:

Kang J. Face recognition for vehicle personalization. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/1853/56260.

Council of Science Editors:

Kang J. Face recognition for vehicle personalization. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/56260


Georgia Tech

21. Carroll, Brandon T. Characterizing acoustic environments with OLAF and ELSA.

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

 The confluence of signal processing and machine learning has created many innovative technologies in popular research areas such as speech recognition. However, many of the… (more)

Subjects/Keywords: Sparse coding; Machine learning; Acoustic environmental monitoring; Novelty detection; Bioacoustics; Poultry

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APA (6th Edition):

Carroll, B. T. (2018). Characterizing acoustic environments with OLAF and ELSA. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61650

Chicago Manual of Style (16th Edition):

Carroll, Brandon T. “Characterizing acoustic environments with OLAF and ELSA.” 2018. Doctoral Dissertation, Georgia Tech. Accessed September 17, 2019. http://hdl.handle.net/1853/61650.

MLA Handbook (7th Edition):

Carroll, Brandon T. “Characterizing acoustic environments with OLAF and ELSA.” 2018. Web. 17 Sep 2019.

Vancouver:

Carroll BT. Characterizing acoustic environments with OLAF and ELSA. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/1853/61650.

Council of Science Editors:

Carroll BT. Characterizing acoustic environments with OLAF and ELSA. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/61650

22. George, Suma. Simulink modeling and implementation of cmos dendrites using fpaa.

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

 In this thesis, I have studied CMOS dendrites, implemented them on a reconfigurable analog platform and modeled them using MATLAB Simulink. The dendrite model was… (more)

Subjects/Keywords: HMM classifier; Dendrites; Wordspotting; Simulink model; Reconfigurable analog; Dendrites; Metal oxide semiconductors, Complementary; Biological systems Computer simulation; Field programmable gate arrays

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APA (6th Edition):

George, S. (2011). Simulink modeling and implementation of cmos dendrites using fpaa. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/44915

Chicago Manual of Style (16th Edition):

George, Suma. “Simulink modeling and implementation of cmos dendrites using fpaa.” 2011. Masters Thesis, Georgia Tech. Accessed September 17, 2019. http://hdl.handle.net/1853/44915.

MLA Handbook (7th Edition):

George, Suma. “Simulink modeling and implementation of cmos dendrites using fpaa.” 2011. Web. 17 Sep 2019.

Vancouver:

George S. Simulink modeling and implementation of cmos dendrites using fpaa. [Internet] [Masters thesis]. Georgia Tech; 2011. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/1853/44915.

Council of Science Editors:

George S. Simulink modeling and implementation of cmos dendrites using fpaa. [Masters Thesis]. Georgia Tech; 2011. Available from: http://hdl.handle.net/1853/44915

23. Ren, Minzhen. Cordic-based Givens QR decomposition for MIMO detectors.

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

 The object of the thesis research is to realize a complex-valued QR decomposition (QRD) algorithm on FPGAs for MIMO communication systems. The challenge is to… (more)

Subjects/Keywords: CORDIC; Givens rotations; QR decomposition; MIMO; Sorted-QR decomposition; FPGA; MIMO systems; Wireless communication systems; Decomposition method

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APA (6th Edition):

Ren, M. (2013). Cordic-based Givens QR decomposition for MIMO detectors. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/50256

Chicago Manual of Style (16th Edition):

Ren, Minzhen. “Cordic-based Givens QR decomposition for MIMO detectors.” 2013. Masters Thesis, Georgia Tech. Accessed September 17, 2019. http://hdl.handle.net/1853/50256.

MLA Handbook (7th Edition):

Ren, Minzhen. “Cordic-based Givens QR decomposition for MIMO detectors.” 2013. Web. 17 Sep 2019.

Vancouver:

Ren M. Cordic-based Givens QR decomposition for MIMO detectors. [Internet] [Masters thesis]. Georgia Tech; 2013. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/1853/50256.

Council of Science Editors:

Ren M. Cordic-based Givens QR decomposition for MIMO detectors. [Masters Thesis]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/50256

24. Curtin, Ryan Ross. Improving dual-tree algorithms.

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

 This large body of work is entirely centered around dual-tree algorithms, a class of algorithm based on spatial indexing structures that often provide large amounts… (more)

Subjects/Keywords: Machine learning; Computational geometry; Tree-based algorithms; Dual-tree algorithms; Kd-tree; Nearest neighbor search; K-means clustering; Data mining

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APA (6th Edition):

Curtin, R. R. (2015). Improving dual-tree algorithms. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54354

Chicago Manual of Style (16th Edition):

Curtin, Ryan Ross. “Improving dual-tree algorithms.” 2015. Doctoral Dissertation, Georgia Tech. Accessed September 17, 2019. http://hdl.handle.net/1853/54354.

MLA Handbook (7th Edition):

Curtin, Ryan Ross. “Improving dual-tree algorithms.” 2015. Web. 17 Sep 2019.

Vancouver:

Curtin RR. Improving dual-tree algorithms. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/1853/54354.

Council of Science Editors:

Curtin RR. Improving dual-tree algorithms. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/54354

25. Meh Chu, Chu. Exploiting spatial and temporal redundancies for vector quantization of speech and images.

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

 The objective of the proposed research is to compress data such as speech, audio, and images using a new re-ordering vector quantization approach that exploits… (more)

Subjects/Keywords: Vector quantization; Speech coding; Image coding; Source coding; Codebook reordering; Signal processing

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APA (6th Edition):

Meh Chu, C. (2015). Exploiting spatial and temporal redundancies for vector quantization of speech and images. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54442

Chicago Manual of Style (16th Edition):

Meh Chu, Chu. “Exploiting spatial and temporal redundancies for vector quantization of speech and images.” 2015. Doctoral Dissertation, Georgia Tech. Accessed September 17, 2019. http://hdl.handle.net/1853/54442.

MLA Handbook (7th Edition):

Meh Chu, Chu. “Exploiting spatial and temporal redundancies for vector quantization of speech and images.” 2015. Web. 17 Sep 2019.

Vancouver:

Meh Chu C. Exploiting spatial and temporal redundancies for vector quantization of speech and images. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/1853/54442.

Council of Science Editors:

Meh Chu C. Exploiting spatial and temporal redundancies for vector quantization of speech and images. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/54442

26. Kressner, Abigail A. Structure in time-frequency binary masking.

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

 Understanding speech in noisy environments is a challenge for normal-hearing and impaired-hearing listeners alike. However, it has been shown that speech intelligibility can be improved… (more)

Subjects/Keywords: Ideal binary mask; Noise reduction; Channel selection; Sound coding

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APA (6th Edition):

Kressner, A. A. (2015). Structure in time-frequency binary masking. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54869

Chicago Manual of Style (16th Edition):

Kressner, Abigail A. “Structure in time-frequency binary masking.” 2015. Doctoral Dissertation, Georgia Tech. Accessed September 17, 2019. http://hdl.handle.net/1853/54869.

MLA Handbook (7th Edition):

Kressner, Abigail A. “Structure in time-frequency binary masking.” 2015. Web. 17 Sep 2019.

Vancouver:

Kressner AA. Structure in time-frequency binary masking. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/1853/54869.

Council of Science Editors:

Kressner AA. Structure in time-frequency binary masking. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/54869

27. Sephus, Nashlie H. A framework for exploiting modulation spectral features in music data mining and other applications.

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

 When a signal is decomposed into frequency bands, demodulated into modulator and carrier pairs, and portrayed in a carrier frequency-versus modulator frequency domain, significant information… (more)

Subjects/Keywords: Modulation spectrum; Music information retrieval; Data mining; Features

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APA (6th Edition):

Sephus, N. H. (2014). A framework for exploiting modulation spectral features in music data mining and other applications. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/52243

Chicago Manual of Style (16th Edition):

Sephus, Nashlie H. “A framework for exploiting modulation spectral features in music data mining and other applications.” 2014. Doctoral Dissertation, Georgia Tech. Accessed September 17, 2019. http://hdl.handle.net/1853/52243.

MLA Handbook (7th Edition):

Sephus, Nashlie H. “A framework for exploiting modulation spectral features in music data mining and other applications.” 2014. Web. 17 Sep 2019.

Vancouver:

Sephus NH. A framework for exploiting modulation spectral features in music data mining and other applications. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/1853/52243.

Council of Science Editors:

Sephus NH. A framework for exploiting modulation spectral features in music data mining and other applications. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/52243

28. Gray, Jordan D. Large scale reconfigurable analog system design enabled through floating-gate transistors.

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

 This work is concerned with the implementation and implication of non-volatile charge storage on VLSI system design. To that end, the floating-gate pFET (fg-pFET) is… (more)

Subjects/Keywords: Analog computation; Floating-gate transistor; Floating-gate programming; Reprogrammable analog; Reconfigurable analog; Linear integrated circuits; Digital-to-analog converters

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APA (6th Edition):

Gray, J. D. (2009). Large scale reconfigurable analog system design enabled through floating-gate transistors. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/34660

Chicago Manual of Style (16th Edition):

Gray, Jordan D. “Large scale reconfigurable analog system design enabled through floating-gate transistors.” 2009. Doctoral Dissertation, Georgia Tech. Accessed September 17, 2019. http://hdl.handle.net/1853/34660.

MLA Handbook (7th Edition):

Gray, Jordan D. “Large scale reconfigurable analog system design enabled through floating-gate transistors.” 2009. Web. 17 Sep 2019.

Vancouver:

Gray JD. Large scale reconfigurable analog system design enabled through floating-gate transistors. [Internet] [Doctoral dissertation]. Georgia Tech; 2009. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/1853/34660.

Council of Science Editors:

Gray JD. Large scale reconfigurable analog system design enabled through floating-gate transistors. [Doctoral Dissertation]. Georgia Tech; 2009. Available from: http://hdl.handle.net/1853/34660

29. Dikbas, Salih. A low-complexity approach for motion-compensated video frame rate up-conversion.

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

 Video frame rate up-conversion is an important issue for multimedia systems in achieving better video quality and motion portrayal. Motion-compensated methods offer better quality interpolated… (more)

Subjects/Keywords: Frame rate up-conversion; Motion-compensated temporal frame interpolation; Motion-compensated frame interpolation; Temporal frame interpolation; Motion estimation; True-motion; Signal processing; Multimedia systems; Multimedia communications

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APA (6th Edition):

Dikbas, S. (2011). A low-complexity approach for motion-compensated video frame rate up-conversion. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/42730

Chicago Manual of Style (16th Edition):

Dikbas, Salih. “A low-complexity approach for motion-compensated video frame rate up-conversion.” 2011. Doctoral Dissertation, Georgia Tech. Accessed September 17, 2019. http://hdl.handle.net/1853/42730.

MLA Handbook (7th Edition):

Dikbas, Salih. “A low-complexity approach for motion-compensated video frame rate up-conversion.” 2011. Web. 17 Sep 2019.

Vancouver:

Dikbas S. A low-complexity approach for motion-compensated video frame rate up-conversion. [Internet] [Doctoral dissertation]. Georgia Tech; 2011. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/1853/42730.

Council of Science Editors:

Dikbas S. A low-complexity approach for motion-compensated video frame rate up-conversion. [Doctoral Dissertation]. Georgia Tech; 2011. Available from: http://hdl.handle.net/1853/42730

30. Ali, Asif. Voice query-by-example for resource-limited languages using an ergodic hidden Markov model of speech.

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

 An ergodic hidden Markov model (EHMM) can be useful in extracting underlying structure embedded in connected speech without the need for a time-aligned transcribed corpus.… (more)

Subjects/Keywords: Speech recognition; Hidden Markov model; Ergodic theory; Hidden Markov models; Automatic speech recognition

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APA (6th Edition):

Ali, A. (2013). Voice query-by-example for resource-limited languages using an ergodic hidden Markov model of speech. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/50363

Chicago Manual of Style (16th Edition):

Ali, Asif. “Voice query-by-example for resource-limited languages using an ergodic hidden Markov model of speech.” 2013. Doctoral Dissertation, Georgia Tech. Accessed September 17, 2019. http://hdl.handle.net/1853/50363.

MLA Handbook (7th Edition):

Ali, Asif. “Voice query-by-example for resource-limited languages using an ergodic hidden Markov model of speech.” 2013. Web. 17 Sep 2019.

Vancouver:

Ali A. Voice query-by-example for resource-limited languages using an ergodic hidden Markov model of speech. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/1853/50363.

Council of Science Editors:

Ali A. Voice query-by-example for resource-limited languages using an ergodic hidden Markov model of speech. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/50363

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