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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Bibliographic Details
Published in:	Signal processing Vol. 97; pp. 152 - 161
Main Authors:	Zeng, Jinshan, Lin, Shaobo, Xu, Zongben
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier B.V 01.04.2014 Elsevier
Subjects:	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 Access:	Get full text
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