Adaptive Optimization $$l_1$$ l 1 -Minimization Solvers on GPU-Reference-Cited by-同舟云学术

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Adaptive Optimization $$l_1$$ l 1 -Minimization Solvers on GPU

Published:2016-04-21 Issue:3 Volume:45 Page:508-529
ISSN:0885-7458
Container-title:International Journal of Parallel Programming
language:en
Short-container-title:Int J Parallel Prog

Author:

Gao Jiaquan,Li Zejie,Liang Ronghua,He Guixia

Funder

The National Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Information Systems,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s10766-016-0430-9.pdf

Reference30 articles.

1. Bruckstein, A., Donoho, D., Elad, M.: From sparse solutions of systems of equations to sparse modeling of signals and images. SIAM Review 51(1), 34–81 (2009)

2. Mallat, S.: A Wavelet Tour of Signal Processing—The Sparse Way, 3rd edn. Academic, Cambridge (2009)

3. Donoho, D.L., Elad, M.: Optimally sparse representation in general (nonorthogonal) dictionaries via l1 minimization. Proc.Natl. Acad. Sci. 100(5), 2197–2202 (2003)

4. Donoho, D.L., Elad, M.: On the stability of the basis pursuit in the presence of noise. Signal Process. 86(3), 511–532 (2006)

5. Tropp, J.A.: Greed is good: algorithmic results for sparse approximation. IEEE Trans. Inf. Theory 50(10), 2231–2242 (2004)

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