A hybrid simulated annealing thresholding algorithm for compressed sensing

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...

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Veröffentlicht in:	Signal processing Jg. 93; H. 6; S. 1577 - 1585
Hauptverfasser:	Fengmin, Xu, Shanhe, Wang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.06.2013
Schlagworte:	Algorithms Compressed Compressed sensing Convergence Image reconstruction Iterative thresholding algorithm Preserves Signal processing Simulated annealing Solvers Statistical regularization Iterative thresholding algorithm Statistical regularization Compressed sensing Simulated annealing
ISSN:	0165-1684, 1872-7557
Online-Zugang:	Volltext
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