Nonstationary signal extraction based on BatOMP sparse decomposition technique

Abstract Sparse decomposition technique is a new method for nonstationary signal extraction in a noise background. To solve the problem of accuracy and efficiency exclusive in sparse decomposition, the bat algorithm combined with Orthogonal Matching Pursuits (BatOMP) was proposed to improve sparse d...

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Autores principales:	Shuang-chao Ge, Shida Zhou
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/be857497159e4656bc70182054f08ef7
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spelling	oai:doaj.org-article:be857497159e4656bc70182054f08ef72021-12-02T18:03:06ZNonstationary signal extraction based on BatOMP sparse decomposition technique10.1038/s41598-021-97431-z2045-2322https://doaj.org/article/be857497159e4656bc70182054f08ef72021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-97431-zhttps://doaj.org/toc/2045-2322Abstract Sparse decomposition technique is a new method for nonstationary signal extraction in a noise background. To solve the problem of accuracy and efficiency exclusive in sparse decomposition, the bat algorithm combined with Orthogonal Matching Pursuits (BatOMP) was proposed to improve sparse decomposition, which can realize adaptive recognition and extraction of nonstationary signal containing random noise. Two general atoms were designed for typical signals, and dictionary training method based on correlation detection and Hilbert transform was developed. The sparse decomposition was turned into an optimizing problem by introducing bat algorithm with optimized fitness function. By contrast with several relevant methods, it was indicated that BatOMP can improve convergence speed and extraction accuracy efficiently as well as decrease the hardware requirement, which is cost effective and helps broadening the applications.Shuang-chao GeShida ZhouNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Shuang-chao Ge Shida Zhou Nonstationary signal extraction based on BatOMP sparse decomposition technique
description	Abstract Sparse decomposition technique is a new method for nonstationary signal extraction in a noise background. To solve the problem of accuracy and efficiency exclusive in sparse decomposition, the bat algorithm combined with Orthogonal Matching Pursuits (BatOMP) was proposed to improve sparse decomposition, which can realize adaptive recognition and extraction of nonstationary signal containing random noise. Two general atoms were designed for typical signals, and dictionary training method based on correlation detection and Hilbert transform was developed. The sparse decomposition was turned into an optimizing problem by introducing bat algorithm with optimized fitness function. By contrast with several relevant methods, it was indicated that BatOMP can improve convergence speed and extraction accuracy efficiently as well as decrease the hardware requirement, which is cost effective and helps broadening the applications.
format	article
author	Shuang-chao Ge Shida Zhou
author_facet	Shuang-chao Ge Shida Zhou
author_sort	Shuang-chao Ge
title	Nonstationary signal extraction based on BatOMP sparse decomposition technique
title_short	Nonstationary signal extraction based on BatOMP sparse decomposition technique
title_full	Nonstationary signal extraction based on BatOMP sparse decomposition technique
title_fullStr	Nonstationary signal extraction based on BatOMP sparse decomposition technique
title_full_unstemmed	Nonstationary signal extraction based on BatOMP sparse decomposition technique
title_sort	nonstationary signal extraction based on batomp sparse decomposition technique
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/be857497159e4656bc70182054f08ef7
work_keys_str_mv	AT shuangchaoge nonstationarysignalextractionbasedonbatompsparsedecompositiontechnique AT shidazhou nonstationarysignalextractionbasedonbatompsparsedecompositiontechnique
_version_	1718378833059512320

Nonstationary signal extraction based on BatOMP sparse decomposition technique

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