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
Optimization and computational tools
This course describes this fascinating topic and the tools needed in its applications.