Textbooks on Compressed Sensing

Today, I'd like to list textbooks on compressed sensing and related topics.
This list is far from complete, but I believe this helps a beginner take the first step.

Compressed Sensing: Theory and Applications

Y. C. Eldar and G. Kutyniok (Editors),

Cambridge University Press, June, 2012

ISBN-13: 978-1107005587
My comment: The introduction chapter (Chapter 1) is especially nice.

Sparse and Redundant Representations: From Theory to Applications in Signal and Image Processing

M. Elad (Author)

Springer, August, 2010.

ISBN-13: 978-1441970107
My comment: A nice introduction to sparse representation in signal and image processing.

A Wavelet Tour of Signal Processing: The Sparse Way

S. Mallat (Author)

Academic Press, 3rd edition, December, 2008.

ISBN-13: 978-0123743701

My comment: Read this book and be a master of wavelet. You can!

A Mathematical Introduction to Compressive Sensing

S. Foucart and H. Rauhut (Authors)

Birkhäuser, August, 2013.

ISBN-13: 978-0817649470
My comment: If you are interested in the theory of compressed sensing, this book will be of help.

Fixed-Point Algorithms for Inverse Problems in Science and Engineering

H. H. Bauschke, R. S. Burachik, P. L. Combettes, V. Elser, D. R. Luke, H. Wolkowicz (Editors)

Springer, June, 2011.

ISBN-13: 978-1441995681
My comment: This book gives you fancy methods to solve sparse optimizations (e.g. L1/L2 optimization)

Sparse Image and Signal Processing: Wavelets, Curvelets, Morphological Diversity

J.-L. Starck, F. Murtagh, and J. M. Fadili (Authors)

Cambridge University Press, May 2010.

ISBN-13: 978-0521119139

My comment: Sparsity has many applications in image and signal processing.

Enjoy!

A related blog entry is here.