cs-fau

Library of Course Compressive Sensing

A. Bereyhi at the EEI Department of FAU

This library includes the lecture-notes of the course Compressive Sensing, given between 2021 and 2023 at FAU Erlangen

Lecture Notes

• Chapter 1: Introduction to Compressive Sensing
• Chapter 2: First Try to Sparse Recovery
• Chapter 3: Magic by $\ell_1$-norm Minimization
• Chapter 4: Greedy and Thresholding Algorithms for Sparse Recovery
• Chapter 5: Sparse Recovery from Noisy Samples
• Chapter 6: Good Sensing Matrices and Compressed Sensing
• Chapter 7: Bayesian Approaches and Approximate Message Passing

Textbooks

• Foucart and Rauhut S. Foucart, and H. Rauhut. A Mathematical Introduction to Compressive Sensing, Springer Nature, 2013
• Maleki - Thesis A. Maleki, Approximate Message Passing Algorithms, Thesis, 2010.
• Barbier - Thesis J. Barbier. Statistical physics and approximate message-passing algorithms for sparse linear estimation problems in signal processing and coding theory, Thesis, 2015.
• Bereyhi -Thesis A. Bereyhi Statistical Mechanics of Regularized Least Squares, Thesis, 2020.

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