An Introduction to Compressive Sensing

by Richard Baraniuk

Introduces the basic concepts in compressive sensing. We overview the concepts of sparsity, compressibility, and transform coding. We then review applications of sparsity in several signal processing problems such as sparse recovery, model selection, data coding, and error correction. We overview the key results in these fields, focusing primarily on both theory and algorithms for sparse recovery. We also discuss applications of compressive sensing in communications, biosensing, medical imaging, and sensor networks.

344 pages, Kindle Edition

First published August 28, 2011

Reviews

[Leye Wang · Rating 4 out of 5]

Concise introduction to compressive sensing. Proofs are easy to follow.