A linearly convergent self-adaptive gradient projection algorithm for sparse signal reconstruction in compressive sensing
Author:
Affiliation:
1. School of Electronic Information, Qingdao University, Qingdao 266071, China
2. School of Management Science, Qufu Normal University, Rizhao 276800, China
3. School of Mathematics and Statistics, Linyi University, Linyi 276005, China
Abstract
Publisher
American Institute of Mathematical Sciences (AIMS)
Subject
General Mathematics
Reference47 articles.
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3. D. L. Donoho, For most large underdetermined systems of equations, the minimal $\ell_1$-norm near-solution approximates the sparsest near-solution, Commun. Pur. Appl. Math., 59 (2006), 907–934. https://doi.org/10.1002/cpa.20131
4. B. K. Natarajan, Sparse approximate solutions to linear systems, SIAM J. Comput., 24 (1995), 227–234. https://doi.org/10.1137/S0097539792240406
5. S. S. Chen, D. L. Donoho, M. A. Saunders, Automatic decomposition by basis pursuit, SIAM Rev., 43 (2001), 129–159. https://doi.org/10.1137/S003614450037906X
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