Combinatorial Problems in Support Recovery for 1-bit Compressed Sensing
Offered By: Simons Institute via YouTube
Course Description
Overview
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
Related Courses
Survey of Music TechnologyGeorgia Institute of Technology via Coursera Fundamentals of Electrical Engineering Laboratory
Rice University via Coursera Critical Listening for Studio Production
Queen's University Belfast via FutureLearn Fundamentos de Comunicaciones Ópticas
Universitat Politècnica de València via UPV [X] Sense101x: Sense, Control, Act: Measure the Universe, Transform the World
University of Queensland via edX