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Electronics Letters
Article . 2019 . Peer-reviewed
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Electronics Letters
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https://dx.doi.org/10.1049/el....
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Block normalised iterative hard thresholding algorithm for compressed sensing

descriptionPublicationkeyboard_double_arrow_right Article 01 Aug 2019 English Publisher:Institution of Engineering and Technology (IET)Journal:Electronics Letters, volume 55, pages 957-959 (issn: 0013-5194, eissn: 1350-911X, Copyright policy )
Authors: Xiaobo Zhang; Wenbo Xu; Jiaru Lin; Yifei Dang;

doi: 10.1049/el.2019.1795

Block normalised iterative hard thresholding algorithm for compressed sensing

Abstract

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 BNIHT are derived. In addition, the number of required iterations is obtained. The simulation experiment shows that BNIHT algorithm is superior to the block IHT (BIHT) algorithm when the step size satisfies .

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
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