Sparse solution of underdetermined linear equations via adaptively iterative thresholding

Finding the sparset solution of an underdetermined system of linear equations y=Ax has attracted considerable attention in recent years. Among a large number of algorithms, iterative thresholding algorithms are recognized as one of the most efficient and important classes of algorithms. This is main...

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Veröffentlicht in:	Signal processing Jg. 97; S. 152 - 161
Hauptverfasser:	Zeng, Jinshan, Lin, Shaobo, Xu, Zongben
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier B.V 01.04.2014 Elsevier
Schlagworte:	Algorithms Applied sciences Coherence Convergence Detection, estimation, filtering, equalization, prediction Deviation Exact sciences and technology Global convergence Information, signal and communications theory Iterative methods Iterative thresholding algorithm Linear equations Mathematical analysis Mathematical models Signal and communications theory Signal, noise Sparse solution Telecommunications and information theory Underdetermined linear equations Underdetermined linear equations Iterative thresholding algorithm Global convergence Sparse solution Linear equation Threshold detection Coherence Signal processing Iterative method Algorithm Computational complexity Adaptive method
ISSN:	0165-1684, 1872-7557
Online-Zugang:	Volltext
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