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Combinatorial Problems in Support Recovery for 1-bit Compressed Sensing

Simons Institute via YouTube

Overview

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Explore combinatorial challenges in support recovery for 1-bit compressed sensing through a 28-minute lecture by Arya Mazumdar from UC San Diego. Delve into application-driven coding theory and its implications for signal processing and data compression techniques. Gain insights into the mathematical foundations and practical applications of this cutting-edge research area in the field of information theory and signal processing.

Syllabus

Combinatorial Problems in Support Recovery for 1-bit Compressed Sensing

Taught by

Simons Institute

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