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You searched for +publisher:"Georgia Tech" +contributor:("Lanterman, Aaron D."). Showing records 1 – 23 of 23 total matches.

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1. Howe, Christopher David. Analog synthesizers in the classroom: How creative play, musical composition, and project-based learning can enhance STEM standard literacy and self-efficacy.

Degree: MS, Music, 2015, Georgia Tech

 The state of STEM education in America's high schools is currently in flux, with billions annually being poured into the NSF to increase national STEM… (more)

Subjects/Keywords: STEM; STEAM; Maker culture; DIY; Moog; arduino; project-based learning; constructionism; Synthesizer:analog; Music; Music education; Music technology

…this research is the work of Jason Freeman at Georgia Tech. EarSketch, a computational music… …thon with the Moog Werkstatt was held at Georgia Tech (“Hackathon helps students invent… …library in C/C++, and website design and development. The focus of my thesis research at Georgia… …Tech is measuring the effectiveness of these materials in a formal classroom setting in both… 

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APA (6th Edition):

Howe, C. D. (2015). Analog synthesizers in the classroom: How creative play, musical composition, and project-based learning can enhance STEM standard literacy and self-efficacy. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53614

Chicago Manual of Style (16th Edition):

Howe, Christopher David. “Analog synthesizers in the classroom: How creative play, musical composition, and project-based learning can enhance STEM standard literacy and self-efficacy.” 2015. Masters Thesis, Georgia Tech. Accessed February 15, 2019. http://hdl.handle.net/1853/53614.

MLA Handbook (7th Edition):

Howe, Christopher David. “Analog synthesizers in the classroom: How creative play, musical composition, and project-based learning can enhance STEM standard literacy and self-efficacy.” 2015. Web. 15 Feb 2019.

Vancouver:

Howe CD. Analog synthesizers in the classroom: How creative play, musical composition, and project-based learning can enhance STEM standard literacy and self-efficacy. [Internet] [Masters thesis]. Georgia Tech; 2015. [cited 2019 Feb 15]. Available from: http://hdl.handle.net/1853/53614.

Council of Science Editors:

Howe CD. Analog synthesizers in the classroom: How creative play, musical composition, and project-based learning can enhance STEM standard literacy and self-efficacy. [Masters Thesis]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/53614

2. Mickael, Peter Wahba. A near field, non-contact vibration detector using giant magnetoresistance sensors.

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

 Giant magnetoresistance (GMR) sensors are explored for their use in detecting vibrations. GMR sensors have been widely used in magnetoresistive random-access memory (MRAM), and they… (more)

Subjects/Keywords: GMR; Vibration sensing; String vibrations; Electric guitar pickup

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APA (6th Edition):

Mickael, P. W. (2018). A near field, non-contact vibration detector using giant magnetoresistance sensors. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60822

Chicago Manual of Style (16th Edition):

Mickael, Peter Wahba. “A near field, non-contact vibration detector using giant magnetoresistance sensors.” 2018. Masters Thesis, Georgia Tech. Accessed February 15, 2019. http://hdl.handle.net/1853/60822.

MLA Handbook (7th Edition):

Mickael, Peter Wahba. “A near field, non-contact vibration detector using giant magnetoresistance sensors.” 2018. Web. 15 Feb 2019.

Vancouver:

Mickael PW. A near field, non-contact vibration detector using giant magnetoresistance sensors. [Internet] [Masters thesis]. Georgia Tech; 2018. [cited 2019 Feb 15]. Available from: http://hdl.handle.net/1853/60822.

Council of Science Editors:

Mickael PW. A near field, non-contact vibration detector using giant magnetoresistance sensors. [Masters Thesis]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/60822


Georgia Tech

3. Harper, Andrew. Interference design in wireless communication systems.

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

 Interference in wireless communication systems is generally thought of as being produced by an outside, uncontrolled source. With this philosophy, interference must be accounted for… (more)

Subjects/Keywords: Interference; Wireless communication; Physical layer security; Joint radar-communication systems

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APA (6th Edition):

Harper, A. (2016). Interference design in wireless communication systems. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/58167

Chicago Manual of Style (16th Edition):

Harper, Andrew. “Interference design in wireless communication systems.” 2016. Doctoral Dissertation, Georgia Tech. Accessed February 15, 2019. http://hdl.handle.net/1853/58167.

MLA Handbook (7th Edition):

Harper, Andrew. “Interference design in wireless communication systems.” 2016. Web. 15 Feb 2019.

Vancouver:

Harper A. Interference design in wireless communication systems. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2019 Feb 15]. Available from: http://hdl.handle.net/1853/58167.

Council of Science Editors:

Harper A. Interference design in wireless communication systems. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/58167


Georgia Tech

4. Weng, Yu. A comprehensive approach for wavefield-based characterization of ultrasonic shear wave scattering in plates.

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

 The objective of this research is to present a comprehensive approach for characterizing and quantifying the scattering of angle-beam ultrasonic shear waves from a variety… (more)

Subjects/Keywords: Angle-beam shear waves; Wavefield imaging; Ultrasonic scattering; Ultrasonic ray tracing; Ultrasonic signal processing; Nondestructive evaluation

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APA (6th Edition):

Weng, Y. (2018). A comprehensive approach for wavefield-based characterization of ultrasonic shear wave scattering in plates. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59885

Chicago Manual of Style (16th Edition):

Weng, Yu. “A comprehensive approach for wavefield-based characterization of ultrasonic shear wave scattering in plates.” 2018. Doctoral Dissertation, Georgia Tech. Accessed February 15, 2019. http://hdl.handle.net/1853/59885.

MLA Handbook (7th Edition):

Weng, Yu. “A comprehensive approach for wavefield-based characterization of ultrasonic shear wave scattering in plates.” 2018. Web. 15 Feb 2019.

Vancouver:

Weng Y. A comprehensive approach for wavefield-based characterization of ultrasonic shear wave scattering in plates. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Feb 15]. Available from: http://hdl.handle.net/1853/59885.

Council of Science Editors:

Weng Y. A comprehensive approach for wavefield-based characterization of ultrasonic shear wave scattering in plates. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/59885


Georgia Tech

5. Kim, Sihwan. Low power mixed signal system design environment using floating-gate FPAAs.

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

 The objective of this research is to create a low-power mixed-signal system design environment using FG FPAAs. To achieve this, my research focused on implementing… (more)

Subjects/Keywords: Floating-gate; FG; Field programmable analog array (FPAA)

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APA (6th Edition):

Kim, S. (2018). Low power mixed signal system design environment using floating-gate FPAAs. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59923

Chicago Manual of Style (16th Edition):

Kim, Sihwan. “Low power mixed signal system design environment using floating-gate FPAAs.” 2018. Doctoral Dissertation, Georgia Tech. Accessed February 15, 2019. http://hdl.handle.net/1853/59923.

MLA Handbook (7th Edition):

Kim, Sihwan. “Low power mixed signal system design environment using floating-gate FPAAs.” 2018. Web. 15 Feb 2019.

Vancouver:

Kim S. Low power mixed signal system design environment using floating-gate FPAAs. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Feb 15]. Available from: http://hdl.handle.net/1853/59923.

Council of Science Editors:

Kim S. Low power mixed signal system design environment using floating-gate FPAAs. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/59923


Georgia Tech

6. Wonderley, David. Decision support for wireless environments with applications to radar systems.

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

 This thesis introduces a framework for providing decision support for systems in wireless environments. The decision support framework utilizes game-theoretic principles to produce a metric,… (more)

Subjects/Keywords: Decision support; Game theory; Wireless communications; Radar systems

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APA (6th Edition):

Wonderley, D. (2017). Decision support for wireless environments with applications to radar systems. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60129

Chicago Manual of Style (16th Edition):

Wonderley, David. “Decision support for wireless environments with applications to radar systems.” 2017. Masters Thesis, Georgia Tech. Accessed February 15, 2019. http://hdl.handle.net/1853/60129.

MLA Handbook (7th Edition):

Wonderley, David. “Decision support for wireless environments with applications to radar systems.” 2017. Web. 15 Feb 2019.

Vancouver:

Wonderley D. Decision support for wireless environments with applications to radar systems. [Internet] [Masters thesis]. Georgia Tech; 2017. [cited 2019 Feb 15]. Available from: http://hdl.handle.net/1853/60129.

Council of Science Editors:

Wonderley D. Decision support for wireless environments with applications to radar systems. [Masters Thesis]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/60129


Georgia Tech

7. 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 February 15, 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. 15 Feb 2019.

Vancouver:

Nguyen V. Non-contact physiologically related motion sensing with ultra-wideband impulse radar. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2019 Feb 15]. 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

8. 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 February 15, 2019. http://hdl.handle.net/1853/56260.

MLA Handbook (7th Edition):

Kang, Jinwoo. “Face recognition for vehicle personalization.” 2016. Web. 15 Feb 2019.

Vancouver:

Kang J. Face recognition for vehicle personalization. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2019 Feb 15]. 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

9. Chen, Xin. Load-enhanced lamb wave methods for the in situ detection, localization and characterization of damage.

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

 A load-enhanced methodology has been proposed to enable the in situ detection, localization, and characterization of damage in metallic plate-like structures using Lamb waves. A… (more)

Subjects/Keywords: Lamb waves; Scattering; Sparse sensor array; Load-enhanced method; Crack detection; Crack localization; Crack characterization; Complex components; Laser vibrometry

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APA (6th Edition):

Chen, X. (2015). Load-enhanced lamb wave methods for the in situ detection, localization and characterization of damage. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54859

Chicago Manual of Style (16th Edition):

Chen, Xin. “Load-enhanced lamb wave methods for the in situ detection, localization and characterization of damage.” 2015. Doctoral Dissertation, Georgia Tech. Accessed February 15, 2019. http://hdl.handle.net/1853/54859.

MLA Handbook (7th Edition):

Chen, Xin. “Load-enhanced lamb wave methods for the in situ detection, localization and characterization of damage.” 2015. Web. 15 Feb 2019.

Vancouver:

Chen X. Load-enhanced lamb wave methods for the in situ detection, localization and characterization of damage. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2019 Feb 15]. Available from: http://hdl.handle.net/1853/54859.

Council of Science Editors:

Chen X. Load-enhanced lamb wave methods for the in situ detection, localization and characterization of damage. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/54859


Georgia Tech

10. Swenson, Brian Paul. Techniques to improve the performance of large-scale discrete-event simulation.

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

 Discrete-event simulation is a commonly used technique to model changes within a complex physical systems as a series of events that occur at discrete points… (more)

Subjects/Keywords: Simulation; GPU

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APA (6th Edition):

Swenson, B. P. (2015). Techniques to improve the performance of large-scale discrete-event simulation. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53887

Chicago Manual of Style (16th Edition):

Swenson, Brian Paul. “Techniques to improve the performance of large-scale discrete-event simulation.” 2015. Doctoral Dissertation, Georgia Tech. Accessed February 15, 2019. http://hdl.handle.net/1853/53887.

MLA Handbook (7th Edition):

Swenson, Brian Paul. “Techniques to improve the performance of large-scale discrete-event simulation.” 2015. Web. 15 Feb 2019.

Vancouver:

Swenson BP. Techniques to improve the performance of large-scale discrete-event simulation. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2019 Feb 15]. Available from: http://hdl.handle.net/1853/53887.

Council of Science Editors:

Swenson BP. Techniques to improve the performance of large-scale discrete-event simulation. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/53887


Georgia Tech

11. Paulus, Audrey S. Improved target detection through extended-dwell, multichannel radar.

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

 The detection of weak, ground-moving targets can be improved through effective utilization of additional target signal energy collected over an extended dwell time. The signal… (more)

Subjects/Keywords: Target detection; Multichannel radar; Ground moving target indication; Radar signal processing; Space-time-adaptive processing

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APA (6th Edition):

Paulus, A. S. (2014). Improved target detection through extended-dwell, multichannel radar. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54279

Chicago Manual of Style (16th Edition):

Paulus, Audrey S. “Improved target detection through extended-dwell, multichannel radar.” 2014. Doctoral Dissertation, Georgia Tech. Accessed February 15, 2019. http://hdl.handle.net/1853/54279.

MLA Handbook (7th Edition):

Paulus, Audrey S. “Improved target detection through extended-dwell, multichannel radar.” 2014. Web. 15 Feb 2019.

Vancouver:

Paulus AS. Improved target detection through extended-dwell, multichannel radar. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2019 Feb 15]. Available from: http://hdl.handle.net/1853/54279.

Council of Science Editors:

Paulus AS. Improved target detection through extended-dwell, multichannel radar. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/54279


Georgia Tech

12. Gürbüz, Sevgi Zübeyde. Radar detection and identification of human signatures using moving platforms.

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

 Radar offers unique advantages over other sensors for the detection of humans, such as remote operation during virtually all weather and lighting conditions, increased range,… (more)

Subjects/Keywords: Detection and estimation; Dismount detection; Human detection; Radar signal processing; Detectors

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APA (6th Edition):

Gürbüz, S. Z. (2009). Radar detection and identification of human signatures using moving platforms. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/37210

Chicago Manual of Style (16th Edition):

Gürbüz, Sevgi Zübeyde. “Radar detection and identification of human signatures using moving platforms.” 2009. Doctoral Dissertation, Georgia Tech. Accessed February 15, 2019. http://hdl.handle.net/1853/37210.

MLA Handbook (7th Edition):

Gürbüz, Sevgi Zübeyde. “Radar detection and identification of human signatures using moving platforms.” 2009. Web. 15 Feb 2019.

Vancouver:

Gürbüz SZ. Radar detection and identification of human signatures using moving platforms. [Internet] [Doctoral dissertation]. Georgia Tech; 2009. [cited 2019 Feb 15]. Available from: http://hdl.handle.net/1853/37210.

Council of Science Editors:

Gürbüz SZ. Radar detection and identification of human signatures using moving platforms. [Doctoral Dissertation]. Georgia Tech; 2009. Available from: http://hdl.handle.net/1853/37210

13. Dawson, Alexander James Wayne. Acquisition and analysis of ultrasonic wavefield data to characterize angle-beam propagation and scattering in plates.

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

 A method for acquiring and analyzing ultrasonic wavefields to characterize scattering from defects is described. A laser vibrometer and XY scanner are used to record… (more)

Subjects/Keywords: Ultrasonic; NDE; Angle-beam; Wavefield measurements

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APA (6th Edition):

Dawson, A. J. W. (2015). Acquisition and analysis of ultrasonic wavefield data to characterize angle-beam propagation and scattering in plates. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54345

Chicago Manual of Style (16th Edition):

Dawson, Alexander James Wayne. “Acquisition and analysis of ultrasonic wavefield data to characterize angle-beam propagation and scattering in plates.” 2015. Doctoral Dissertation, Georgia Tech. Accessed February 15, 2019. http://hdl.handle.net/1853/54345.

MLA Handbook (7th Edition):

Dawson, Alexander James Wayne. “Acquisition and analysis of ultrasonic wavefield data to characterize angle-beam propagation and scattering in plates.” 2015. Web. 15 Feb 2019.

Vancouver:

Dawson AJW. Acquisition and analysis of ultrasonic wavefield data to characterize angle-beam propagation and scattering in plates. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2019 Feb 15]. Available from: http://hdl.handle.net/1853/54345.

Council of Science Editors:

Dawson AJW. Acquisition and analysis of ultrasonic wavefield data to characterize angle-beam propagation and scattering in plates. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/54345

14. Wilcher, John S. Algorithms and performance optimization for distributed radar automatic target recognition.

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

 This thesis focuses upon automatic target recognition (ATR) with radar sensors. Recent advancements in ATR have included the processing of target signatures from multiple, spatially-diverse… (more)

Subjects/Keywords: Automatic target recognition; Distributed radar; High range resolution; Kullback-Leibler; Multi-sensor; Classification; Multi-static

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APA (6th Edition):

Wilcher, J. S. (2015). Algorithms and performance optimization for distributed radar automatic target recognition. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53533

Chicago Manual of Style (16th Edition):

Wilcher, John S. “Algorithms and performance optimization for distributed radar automatic target recognition.” 2015. Doctoral Dissertation, Georgia Tech. Accessed February 15, 2019. http://hdl.handle.net/1853/53533.

MLA Handbook (7th Edition):

Wilcher, John S. “Algorithms and performance optimization for distributed radar automatic target recognition.” 2015. Web. 15 Feb 2019.

Vancouver:

Wilcher JS. Algorithms and performance optimization for distributed radar automatic target recognition. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2019 Feb 15]. Available from: http://hdl.handle.net/1853/53533.

Council of Science Editors:

Wilcher JS. Algorithms and performance optimization for distributed radar automatic target recognition. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/53533

15. Davis, Michael Scott. MIMO radar: signal processing, waveform design, and applications to synthetic aperture imaging.

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

 This dissertation analyzes the capability of multiple-input, multiple-output (MIMO) radar techniques to improve the image quality and area-coverage rate of synthetic aperture imaging systems. A… (more)

Subjects/Keywords: Radar signal processing; Synthetic aperture radar; Synthetic aperture sonar

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APA (6th Edition):

Davis, M. S. (2015). MIMO radar: signal processing, waveform design, and applications to synthetic aperture imaging. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53566

Chicago Manual of Style (16th Edition):

Davis, Michael Scott. “MIMO radar: signal processing, waveform design, and applications to synthetic aperture imaging.” 2015. Doctoral Dissertation, Georgia Tech. Accessed February 15, 2019. http://hdl.handle.net/1853/53566.

MLA Handbook (7th Edition):

Davis, Michael Scott. “MIMO radar: signal processing, waveform design, and applications to synthetic aperture imaging.” 2015. Web. 15 Feb 2019.

Vancouver:

Davis MS. MIMO radar: signal processing, waveform design, and applications to synthetic aperture imaging. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2019 Feb 15]. Available from: http://hdl.handle.net/1853/53566.

Council of Science Editors:

Davis MS. MIMO radar: signal processing, waveform design, and applications to synthetic aperture imaging. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/53566

16. 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 February 15, 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. 15 Feb 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 Feb 15]. 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

17. Ahmed, Ali. Low-rank matrix recovery: blind deconvolution and efficient sampling of correlated signals.

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

 Low-dimensional signal structures naturally arise in a large set of applications in various fields such as medical imaging, machine learning, signal, and array processing. A… (more)

Subjects/Keywords: Low-rank recovery; Structured randomness; Blind deconvolution; Efficient sampling; Low-dimensional topology; Signal processing

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APA (6th Edition):

Ahmed, A. (2013). Low-rank matrix recovery: blind deconvolution and efficient sampling of correlated signals. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/50226

Chicago Manual of Style (16th Edition):

Ahmed, Ali. “Low-rank matrix recovery: blind deconvolution and efficient sampling of correlated signals.” 2013. Doctoral Dissertation, Georgia Tech. Accessed February 15, 2019. http://hdl.handle.net/1853/50226.

MLA Handbook (7th Edition):

Ahmed, Ali. “Low-rank matrix recovery: blind deconvolution and efficient sampling of correlated signals.” 2013. Web. 15 Feb 2019.

Vancouver:

Ahmed A. Low-rank matrix recovery: blind deconvolution and efficient sampling of correlated signals. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2019 Feb 15]. Available from: http://hdl.handle.net/1853/50226.

Council of Science Editors:

Ahmed A. Low-rank matrix recovery: blind deconvolution and efficient sampling of correlated signals. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/50226

18. Bang, Jeong Hwan. Adaptive radar detection in the presence of textured and discrete interference.

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

 Under a number of practical operating scenarios, traditional moving target indicator (MTI) systems inadequately suppress ground clutter in airborne radar systems. Due to the moving… (more)

Subjects/Keywords: Radar; Radar detection; Space-time adaptive processing; Knowledge-aided signal processing; Model-based clutter cancellation; Heterogeneous clutter; Signal processing; Radar Interference; Moving target indicator radar; Doppler effect

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APA (6th Edition):

Bang, J. H. (2013). Adaptive radar detection in the presence of textured and discrete interference. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/49109

Chicago Manual of Style (16th Edition):

Bang, Jeong Hwan. “Adaptive radar detection in the presence of textured and discrete interference.” 2013. Doctoral Dissertation, Georgia Tech. Accessed February 15, 2019. http://hdl.handle.net/1853/49109.

MLA Handbook (7th Edition):

Bang, Jeong Hwan. “Adaptive radar detection in the presence of textured and discrete interference.” 2013. Web. 15 Feb 2019.

Vancouver:

Bang JH. Adaptive radar detection in the presence of textured and discrete interference. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2019 Feb 15]. Available from: http://hdl.handle.net/1853/49109.

Council of Science Editors:

Bang JH. Adaptive radar detection in the presence of textured and discrete interference. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/49109

19. Ali Khan, Syed Irteza. Classification using residual vector quantization.

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

 Residual vector quantization (RVQ) is a 1-nearest neighbor (1-NN) type of technique. RVQ is a multi-stage implementation of regular vector quantization. An input is successively… (more)

Subjects/Keywords: Residual vector quantization; Bayesian framework; Markov structure; 1-Nearest neighbor; Vector analysis; Nearest neighbor analysis (Statistics); Data compression (Telecommunication); Coding theory; Image processing

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

APA (6th Edition):

Ali Khan, S. I. (2013). Classification using residual vector quantization. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/50300

Chicago Manual of Style (16th Edition):

Ali Khan, Syed Irteza. “Classification using residual vector quantization.” 2013. Doctoral Dissertation, Georgia Tech. Accessed February 15, 2019. http://hdl.handle.net/1853/50300.

MLA Handbook (7th Edition):

Ali Khan, Syed Irteza. “Classification using residual vector quantization.” 2013. Web. 15 Feb 2019.

Vancouver:

Ali Khan SI. Classification using residual vector quantization. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2019 Feb 15]. Available from: http://hdl.handle.net/1853/50300.

Council of Science Editors:

Ali Khan SI. Classification using residual vector quantization. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/50300

20. Cobo Rus, Luis Carlos. Leveraging attention focus for effective reinforcement learning in complex domains.

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

 One of the hardest challenges in the field of machine learning is to build agents, such as robotic assistants in homes and hospitals, that can… (more)

Subjects/Keywords: Reinforcement learning; Learning from demonstration; Dimensionality reduction; Machine learning; Stochastic processes; Autonomous robots; Robots; Intelligent agents (Computer software)

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APA (6th Edition):

Cobo Rus, L. C. (2013). Leveraging attention focus for effective reinforcement learning in complex domains. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/47618

Chicago Manual of Style (16th Edition):

Cobo Rus, Luis Carlos. “Leveraging attention focus for effective reinforcement learning in complex domains.” 2013. Doctoral Dissertation, Georgia Tech. Accessed February 15, 2019. http://hdl.handle.net/1853/47618.

MLA Handbook (7th Edition):

Cobo Rus, Luis Carlos. “Leveraging attention focus for effective reinforcement learning in complex domains.” 2013. Web. 15 Feb 2019.

Vancouver:

Cobo Rus LC. Leveraging attention focus for effective reinforcement learning in complex domains. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2019 Feb 15]. Available from: http://hdl.handle.net/1853/47618.

Council of Science Editors:

Cobo Rus LC. Leveraging attention focus for effective reinforcement learning in complex domains. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/47618

21. Liu, Cheng. Advanced system design and signal processing techniques for converged high-speed optical and wireless applications.

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

 The ever-increasing data traffic demand drives the evolution of telecommunication networks, including the last-mile access networks as well as the long-haul backbone networks. This Ph.D.… (more)

Subjects/Keywords: Wireless access network; Optical fiber communications; Telecommunication; Optical communications; Optical fiber communication; Wireless communication systems

…of small-cell cloud-RAN with centralized processing, our group at Georgia Tech has proposed… 

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APA (6th Edition):

Liu, C. (2013). Advanced system design and signal processing techniques for converged high-speed optical and wireless applications. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/49058

Chicago Manual of Style (16th Edition):

Liu, Cheng. “Advanced system design and signal processing techniques for converged high-speed optical and wireless applications.” 2013. Doctoral Dissertation, Georgia Tech. Accessed February 15, 2019. http://hdl.handle.net/1853/49058.

MLA Handbook (7th Edition):

Liu, Cheng. “Advanced system design and signal processing techniques for converged high-speed optical and wireless applications.” 2013. Web. 15 Feb 2019.

Vancouver:

Liu C. Advanced system design and signal processing techniques for converged high-speed optical and wireless applications. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2019 Feb 15]. Available from: http://hdl.handle.net/1853/49058.

Council of Science Editors:

Liu C. Advanced system design and signal processing techniques for converged high-speed optical and wireless applications. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/49058


Georgia Tech

22. Farrell, Michael D., Jr. Analysis of Modeling, Training, and Dimension Reduction Approaches for Target Detection in Hyperspectral Imagery.

Degree: PhD, Electrical and Computer Engineering, 2005, Georgia Tech

 Whenever a new sensor or system comes online, engineers and analysts responsible for processing the measured data turn first to methods that are tried and… (more)

Subjects/Keywords: Covariance contamination; Dimension reduction; Hyperspectral imaging; Image processing Digital techniques; Land mines; Remote sensing; Target detection

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

APA (6th Edition):

Farrell, Michael D., J. (2005). Analysis of Modeling, Training, and Dimension Reduction Approaches for Target Detection in Hyperspectral Imagery. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/7505

Chicago Manual of Style (16th Edition):

Farrell, Michael D., Jr. “Analysis of Modeling, Training, and Dimension Reduction Approaches for Target Detection in Hyperspectral Imagery.” 2005. Doctoral Dissertation, Georgia Tech. Accessed February 15, 2019. http://hdl.handle.net/1853/7505.

MLA Handbook (7th Edition):

Farrell, Michael D., Jr. “Analysis of Modeling, Training, and Dimension Reduction Approaches for Target Detection in Hyperspectral Imagery.” 2005. Web. 15 Feb 2019.

Vancouver:

Farrell, Michael D. J. Analysis of Modeling, Training, and Dimension Reduction Approaches for Target Detection in Hyperspectral Imagery. [Internet] [Doctoral dissertation]. Georgia Tech; 2005. [cited 2019 Feb 15]. Available from: http://hdl.handle.net/1853/7505.

Council of Science Editors:

Farrell, Michael D. J. Analysis of Modeling, Training, and Dimension Reduction Approaches for Target Detection in Hyperspectral Imagery. [Doctoral Dissertation]. Georgia Tech; 2005. Available from: http://hdl.handle.net/1853/7505


Georgia Tech

23. Fozunbal, Majid. Coding and Information-Theoretic Aspects of Multiple Antenna Communication Systems.

Degree: PhD, Electrical and Computer Engineering, 2005, Georgia Tech

 Future wireless networks will be required to transmit real-time multimedia data reliably with high speed and low latency. This demands new approaches to the design… (more)

Subjects/Keywords: Coding; Information theory; Wireless communications; Channel capacity; Multiple antennas

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

APA (6th Edition):

Fozunbal, M. (2005). Coding and Information-Theoretic Aspects of Multiple Antenna Communication Systems. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/6972

Chicago Manual of Style (16th Edition):

Fozunbal, Majid. “Coding and Information-Theoretic Aspects of Multiple Antenna Communication Systems.” 2005. Doctoral Dissertation, Georgia Tech. Accessed February 15, 2019. http://hdl.handle.net/1853/6972.

MLA Handbook (7th Edition):

Fozunbal, Majid. “Coding and Information-Theoretic Aspects of Multiple Antenna Communication Systems.” 2005. Web. 15 Feb 2019.

Vancouver:

Fozunbal M. Coding and Information-Theoretic Aspects of Multiple Antenna Communication Systems. [Internet] [Doctoral dissertation]. Georgia Tech; 2005. [cited 2019 Feb 15]. Available from: http://hdl.handle.net/1853/6972.

Council of Science Editors:

Fozunbal M. Coding and Information-Theoretic Aspects of Multiple Antenna Communication Systems. [Doctoral Dissertation]. Georgia Tech; 2005. Available from: http://hdl.handle.net/1853/6972

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