Theoretical Foundations and Numerical Methods for Sparse Recovery

By Massimo Fornasier. Radon Series on Computational and Applied Mathematics, 2010

409 citations recorded by the source corpus.

Subfields: Atomic and Molecular Physics, and Optics, Biomedical Engineering, Computational Mechanics

View Paper: https://www.semanticscholar.org/paper/b73bfcf834c0de094afc2b0ecb3df8e4d3ec7bb3

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atomic and Molecular Physics, and Optics

1. Michael I. Jordan
2. Joel A. Tropp
3. Richard Y. Chen

In Biomedical Engineering

1. Lester W. Mackey
2. Michael I. Jordan
3. Joel A. Tropp
4. Yonina C. Eldar
5. Martin J. Wainwright
6. Richard Baraniuk
7. M. Davies
8. Moshe Mishali

In Computational Mechanics

1. Michael I. Jordan
2. Joel A. Tropp
3. Lester W. Mackey
4. Brendan Farrell
5. Richard Y. Chen
6. Francis R. Bach
7. Tong Zhang
8. Martin J. Wainwright

Citations in the corpus

• Matrix concentration inequalities via the method of exchangeable pairs (2012, background): “This class of random matrices arises in a variety of situations, including randomized linear algebra [11], compressed sensing [41], Section 9, and chance-constrained optimization [9].”