Compressive Sensing and Sparse Representations

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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.


medrec.m, l1lsweight.m, J.mat, WAT2D.m


1. Introduction

2. CS basic concepts

3. CS reconstruction algorithms

4. CS applications

5. Matrix completion