Research on greedy reconstruction algorithms of compressed sensing based on variable metric method

A variable metric method based gradient pursuit algorithm based on some existing gradient pursuit algorithms was proposed by combining the gradient direction of optimization methods with greedy algorithms.The computational complexity and storage requirements of these algorithms were also analysed an...

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Main Authors: Pan-pan LIU, Lei LI, Hao-yu WNAG
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2014-12-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.12.012/
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author Pan-pan LIU
Lei LI
Hao-yu WNAG
author_facet Pan-pan LIU
Lei LI
Hao-yu WNAG
author_sort Pan-pan LIU
collection DOAJ
description A variable metric method based gradient pursuit algorithm based on some existing gradient pursuit algorithms was proposed by combining the gradient direction of optimization methods with greedy algorithms.The computational complexity and storage requirements of these algorithms were also analysed and compared.In experimental part,all these algorithms were used to reconstruct one-dimensional audio signal and two-dimensional image signal.Experimental results show that the VMMGP algorithm has the best reconstruction performance among all the gradient pursuit algorithms.
format Article
id doaj-art-a5a0bcc2d1a149d6b393dfe9b3771474
institution Kabale University
issn 1000-436X
language zho
publishDate 2014-12-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-a5a0bcc2d1a149d6b393dfe9b37714742025-01-14T06:44:36ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2014-12-01359810559687501Research on greedy reconstruction algorithms of compressed sensing based on variable metric methodPan-pan LIULei LIHao-yu WNAGA variable metric method based gradient pursuit algorithm based on some existing gradient pursuit algorithms was proposed by combining the gradient direction of optimization methods with greedy algorithms.The computational complexity and storage requirements of these algorithms were also analysed and compared.In experimental part,all these algorithms were used to reconstruct one-dimensional audio signal and two-dimensional image signal.Experimental results show that the VMMGP algorithm has the best reconstruction performance among all the gradient pursuit algorithms.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.12.012/orthogonal matching pursuitgradient directiongradient pursuitvariable metric methodcomputational complexitystorage requirements
spellingShingle Pan-pan LIU
Lei LI
Hao-yu WNAG
Research on greedy reconstruction algorithms of compressed sensing based on variable metric method
Tongxin xuebao
orthogonal matching pursuit
gradient direction
gradient pursuit
variable metric method
computational complexity
storage requirements
title Research on greedy reconstruction algorithms of compressed sensing based on variable metric method
title_full Research on greedy reconstruction algorithms of compressed sensing based on variable metric method
title_fullStr Research on greedy reconstruction algorithms of compressed sensing based on variable metric method
title_full_unstemmed Research on greedy reconstruction algorithms of compressed sensing based on variable metric method
title_short Research on greedy reconstruction algorithms of compressed sensing based on variable metric method
title_sort research on greedy reconstruction algorithms of compressed sensing based on variable metric method
topic orthogonal matching pursuit
gradient direction
gradient pursuit
variable metric method
computational complexity
storage requirements
url http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.12.012/
work_keys_str_mv AT panpanliu researchongreedyreconstructionalgorithmsofcompressedsensingbasedonvariablemetricmethod
AT leili researchongreedyreconstructionalgorithmsofcompressedsensingbasedonvariablemetricmethod
AT haoyuwnag researchongreedyreconstructionalgorithmsofcompressedsensingbasedonvariablemetricmethod