Deterministic construction of compressed sensing matrices based on semilattices-Reference-Cited by-同舟云学术

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Deterministic construction of compressed sensing matrices based on semilattices

Published:2017-08-01 Issue:1 Volume:35 Page:148-161
ISSN:1382-6905
Container-title:Journal of Combinatorial Optimization
language:en
Short-container-title:J Comb Optim

Author:

Guo Jun,Liu Junli

Funder

NSF of China

NSF of Hebei Province

Hundreds of Excellent Innovative Talents in Higher Education of Hebei Province

Department of Education of Hebei Province

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computational Theory and Mathematics,Control and Optimization,Discrete Mathematics and Combinatorics,Computer Science Applications

Link

http://link.springer.com/article/10.1007/s10878-017-0162-9/fulltext.html

Reference14 articles.

1. Bourgain J, Dilworth S, Ford K, Konyagin S, Kutzarova D (2011) Explicit constructions of RIP matrices and related problems. Duke Math J 159:145–185

2. Candès E, Tao T (2005) Decoding by linear programming. IEEE Trans Inf Theory 51:4203–4215

3. Candès E, Tao T (2006) Near-optimal signal recovery fromrandom projections: universal encoding strategies. IEEE Trans Inf Theory 52:5406–5425

4. Candès E, Romberg J, Tao T (2006) Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information. IEEE Trans Inf Theory 52:489–509

5. Cohen A, Dahmen W, DeVore R (2009) Compressed sensing and best $$k$$ k -term approximation. J Am Math Soc 22:211–231

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