A fast algorithm for sparse signal recovery via fraction function

In this article, a fast algorithm is studied to recover the sparse signals. It can be regarded as an extension of the parameterized fast iterative shrinkage‐thresholding algorithm from convex optimization to nonconvex optimization. Numerical results show that the proposed fast algorithm is efficient...

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Published inElectronics letters Vol. 60; no. 11
Main Authors Cui, Angang, He, Haizhen, Yang, Hong
Format Journal Article
LanguageEnglish
Published Wiley 01.06.2024
Subjects
signal processing
signal reconstruction
Online AccessGet full text
ISSN0013-5194
1350-911X
1350-911X
DOI10.1049/ell2.13243

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Abstract In this article, a fast algorithm is studied to recover the sparse signals. It can be regarded as an extension of the parameterized fast iterative shrinkage‐thresholding algorithm from convex optimization to nonconvex optimization. Numerical results show that the proposed fast algorithm is efficient and fast in recovering the sparse signals. A fast algorithm is proposed to recover the sparse signals. Numerical results show that the proposed fast algorithm is efficient and fast in recovering the sparse signals.
AbstractList In this article, a fast algorithm is studied to recover the sparse signals. It can be regarded as an extension of the parameterized fast iterative shrinkage‐thresholding algorithm from convex optimization to nonconvex optimization. Numerical results show that the proposed fast algorithm is efficient and fast in recovering the sparse signals.
In this article, a fast algorithm is studied to recover the sparse signals. It can be regarded as an extension of the parameterized fast iterative shrinkage‐thresholding algorithm from convex optimization to nonconvex optimization. Numerical results show that the proposed fast algorithm is efficient and fast in recovering the sparse signals. A fast algorithm is proposed to recover the sparse signals. Numerical results show that the proposed fast algorithm is efficient and fast in recovering the sparse signals.
Abstract In this article, a fast algorithm is studied to recover the sparse signals. It can be regarded as an extension of the parameterized fast iterative shrinkage‐thresholding algorithm from convex optimization to nonconvex optimization. Numerical results show that the proposed fast algorithm is efficient and fast in recovering the sparse signals.
Author Yang, Hong
Cui, Angang
He, Haizhen
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10.1016/j.cam.2017.12.048
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10.1109/TNNLS.2012.2197412
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Snippet In this article, a fast algorithm is studied to recover the sparse signals. It can be regarded as an extension of the parameterized fast iterative...
Abstract In this article, a fast algorithm is studied to recover the sparse signals. It can be regarded as an extension of the parameterized fast iterative...
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Title A fast algorithm for sparse signal recovery via fraction function
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