Es existiert bis dato noch kein einführendes Lehrbuch oder Skript zum Thema Compressed Sensing. Daher werden, neben den Vorlesungsfolien, Überblicksartikel empfohlen:

1. Understanding and using linear programming / Jiří Matoušek und Bernd Gärtner / Springer Verlag
2. Mathematik / Tilo Arens, Frank Hettlich, Christian Karpfinger, Ulrich Kockelkorn, Klaus Lichtenegger und Hellmuth Stachel / Spektrum Akademischer Verlag
3. Website über Compressed Sensing
4. IEEE Signal Processing Magazine (Special Issue on Compressive Sampling), March 2008.

1. MIP: Sparse representations in unions of bases, Information Theory, IEEE Transactions on , vol.49, no.12, pp. 3320- 3325, Dec. 2003
2. RIP: Error correction via linear programming, Foundations of Computer Science, 2005. FOCS 2005. 46th Annual IEEE Symposium on , vol., no., pp.668-681, 25-25 Oct. 2005
3. NSP: Compressed sensing and best k-term approximation , J. Amer. Math. Soc. 22 (2009), 211-231.
4. Phase Transition: Precise Undersampling Theorems, Proceedings of the IEEE , vol.98, no.6, pp.913-924, June 2010