Dear faculty and fellow students,

You are cordially invited to my thesis defense on October 21st.

Title: Slepian Array Processing: Concepts and Practical Considerations

Date: Monday, October 21st

Time: 11:00 am

Location: Coda C1215 Midtown or Link

Coleman DeLude

Machine Learning PhD Student

Electrical & Computer Engineering
Georgia Institute of Technology

Committee

1 Dr. Justin Romberg (Advisor), Electrical and Computer Engineering, Georgia Tech

2 Dr. Mark Davenport, Electrical and Computer Engineering, Georgia Tech

3 Dr. Saibal Mukhopadhyay, Electrical and Computer Engineering, Georgia Tech

4 Dr. Matthieu Bloch, Electrical and Computer Engineering, Georgia Tech

5 Dr. Lisa Osadciw, Fellow, Lockheed Martin Corporation

Abstract

There has been an immense effort in recent years to modernize approaches to classic problems in multi-sensor array processing. In support of this initiative, this thesis explores new mathematical frameworks for performing broadband source localization, broadband beamforming, array dimensionality reduction, and environmental emulation with an emphasis on applying these methods to radio frequency (RF) scenarios. In particular, we focus on how to leverage Slepian spaces in several of these applications. We show how each of these new approaches outperform existing methods in metrics such as computational complexity, power efficiency, dynamic range, and/or scalability. Additionally, we present multiple practical implementations of these concepts, which was achieved through a strong collaboration with several hardware/firmware/software engineering laboratories.