Adaptive step-size fast iterative shrinkage-thresholding algorithm and sparse-spike deconvolution

The standard Fast Iterative Shrinkage-Thresholding Algorithm (FISTA) adopts a search approach consisting of linear increases to determine the step size of the internal gradient. If the input of the initial step-size is not accurate, the convergence of FISTA may be restricted when the linear search s...

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Veröffentlicht in:	Computers & geosciences Jg. 134; S. 104343
Hauptverfasser:	Pan, Shulin, Yan, Ke, Lan, Haiqiang, Badal, José, Qin, Ziyu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.01.2020
Schlagworte:	Adaptive step-size algorithm algorithms Convergence rate Fast iterative shrinkage-thresholding algorithm Linear search approach mathematical models problem solving Sparse-spike deconvolution theoretical models Fast iterative shrinkage-thresholding algorithm Convergence rate Linear search approach Sparse-spike deconvolution Adaptive step-size algorithm
ISSN:	0098-3004
Online-Zugang:	Volltext
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