Compressed Sensing encompasses exciting and surprising developments in signal processing resulting from sparse representations. It is about the interplay between sparsity and signal recovery. Roots trace back to:
Mathematics and harmonic analysis
Physical sciences and geophysics
Vision
Optimization and computational tools
This course describes this fascinating topic and the tools needed in its applications.
Software
medrec.m, l1lsweight.m, J.mat, WAT2D.m
Lectures