Compressed sensing of low-rank plus sparse matrices

Author:

Tanner JaredORCID,Vary SimonORCID

Funder

The Alan Turing Institute

Engineering and Physical Sciences Research Council

Publisher

Elsevier BV

Subject

Applied Mathematics

Reference57 articles.

1. Robust principal component analysis?;Candès;J. ACM,2011

2. Rank-sparsity incoherence for matrix decomposition;Chandrasekaran;SIAM J. Optim.,2011

3. Decomposition into low-rank plus additive matrices for background/foreground separation: a review for a comparative evaluation with a large-scale dataset;Bouwmans;Comput. Sci. Rev.,2017

4. Compressed Sensing: Theory and Applications;Eldar,2012

5. A Mathematical Introduction to Compressive Sensing, Applied and Numerical Harmonic Analysis;Foucart,2013

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