Convex feasibility modeling and projection methods for sparse signal recovery-Reference-Cited by-同舟云学术

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Convex feasibility modeling and projection methods for sparse signal recovery

Published:2012-11 Issue:17 Volume:236 Page:4318-4335
ISSN:0377-0427
Container-title:Journal of Computational and Applied Mathematics
language:en
Short-container-title:Journal of Computational and Applied Mathematics

Author:

Carmi Avishy,Censor Yair,Gurfil Pini

Funder

United States–Israel Binational Science Foundation (BSF)

US Department of Army

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Mathematics

Reference41 articles.

1. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information;Candès;IEEE Transactions on Information Theory,2006

2. Compressive sampling;Candès,2006

3. Sparse MRI: the application of compressed sensing for rapid MR imaging;Lustig;Magnetic Resonance in Medicine,2007

4. Compressed sensing in dynamic MRI;Gamper;Magnetic Resonance in Medicine,2008

5. The foundations of set-theoretic estimation;Combettes;Proceedings of the IEEE,1993

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