To this day there is neither an introductory textbook, nor a detailed tutorial on compressed sensing suitable for beginners from engineering fields. Therefore, these lectures and exercises are completely accompanied with detailed presentation slides available as downloads on the website of the course.

1. M. A. Davenport, M. F. Duarte, Y. C. Eldar, and G. Kutyniok, "Introduction to Compressed Sensing", Chapter 1 in the book Compressed Sensing: Theory and Applications, Cambridge University Press, 2012. Online available here.
2. R. Baraniuk, M. A. Davenport, M. F. Duarte, C. Hegde: "An Introduction to Compressive Sensing". Online available here.
3. A. M. Bruckstein, D. L. Donoho, and M. Elad (2009): From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images, SIAM Review, Vol. 51, No. 1, pp. 34-81. Online available here.
4. Large parts of the exercises are based on the book "Understanding and using linear programming" written by Jiří Matoušek and Bernd Gärtner (Springer Verlag 2010)