Block normalised iterative hard thresholding algorithm for compressed sensing

In this letter, the authors propose block normalised iterative hard thresholding (BNIHT) algorithm for the recovery of block sparse signal, in which the non-zero elements are presented in clusters. Based on block restricted isometry property, the sufficient conditions to guarantee the convergence of...

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Vydáno v:	Electronics letters Ročník 55; číslo 17; s. 957 - 959
Hlavní autoři:	Zhang, Xiaobo, Xu, Wenbo, Lin, Jiaru, Dang, Yifei
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	The Institution of Engineering and Technology 22.08.2019
Témata:	block IHT algorithm block restricted isometry property block sparse signal BNIHT algorithm compressed sensing iterative hard thresholding algorithm iterative methods nonzero elements required iterations Signal processing signal reconstruction sufficient conditions iterative hard thresholding algorithm block sparse signal nonzero elements sufficient conditions iterative methods block IHT algorithm compressed sensing signal reconstruction BNIHT algorithm block restricted isometry property required iterations
ISSN:	0013-5194, 1350-911X, 1350-911X
On-line přístup:	Získat plný text
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