Journal
SIGNAL PROCESSING
Volume 93, Issue 6, Pages 1577-1585Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.sigpro.2012.10.019
Keywords
Compressed sensing; Simulated annealing; Iterative thresholding algorithm; Statistical regularization
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Funding
- China NSFC [11101325, 11161001]
- key discipline of the state ethnic affairs commission
- KFAS International scholar exchange fellowship program
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In this paper we present a new hybrid simulated annealing thresholding (HSAT) algorithm which preserves the computational simplicity of thresholding algorithm but with the global convergence. We verify the convergence of the new hybrid simulated annealing thresholding algorithm and provide a series of experiments and applications to assess performance of the algorithm. The experiments and applications show that the proposed hybrid algorithm is global convergence and can be accepted as a solver for signal and image reconstruction problems. (C) 2012 Elsevier B.V. All rights reserved.
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