Direction convergence analysis of weighted rule for minor component extraction information criteria

The extraction of parallel minor components algorithm in directional convergence in signal feature extraction was studied.By comparing the unweighted projection approximation subspace tracking (PAST) algorithm with the weighted PAST parallel minor component extraction algorithm,the evolution method...

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Main Authors: Boyang DU, Xiangyu KONG, Xiaowei FENG
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2020-03-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2020014
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author Boyang DU
Xiangyu KONG
Xiaowei FENG
author_facet Boyang DU
Xiangyu KONG
Xiaowei FENG
author_sort Boyang DU
collection DOAJ
description The extraction of parallel minor components algorithm in directional convergence in signal feature extraction was studied.By comparing the unweighted projection approximation subspace tracking (PAST) algorithm with the weighted PAST parallel minor component extraction algorithm,the evolution method of the minor component extraction algorithm was analyzed.Theorical analysis illustrated that the weighted rule was able to guide the angle evolution between the vectors of the state matrix and minor components.Finally,Matlab simulation verifies the validity of the proposed theory.
format Article
id doaj-art-3e52d977228b4f57a9d2ea8c2e256493
institution OA Journals
issn 1000-436X
language zho
publishDate 2020-03-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-3e52d977228b4f57a9d2ea8c2e2564932025-08-20T02:09:34ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2020-03-0141253259733497Direction convergence analysis of weighted rule for minor component extraction information criteriaBoyang DUXiangyu KONGXiaowei FENGThe extraction of parallel minor components algorithm in directional convergence in signal feature extraction was studied.By comparing the unweighted projection approximation subspace tracking (PAST) algorithm with the weighted PAST parallel minor component extraction algorithm,the evolution method of the minor component extraction algorithm was analyzed.Theorical analysis illustrated that the weighted rule was able to guide the angle evolution between the vectors of the state matrix and minor components.Finally,Matlab simulation verifies the validity of the proposed theory.http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2020014minor subspace extraction algorithm;weighted rule;parallel minor component analysis
spellingShingle Boyang DU
Xiangyu KONG
Xiaowei FENG
Direction convergence analysis of weighted rule for minor component extraction information criteria
Tongxin xuebao
minor subspace extraction algorithm;weighted rule;parallel minor component analysis
title Direction convergence analysis of weighted rule for minor component extraction information criteria
title_full Direction convergence analysis of weighted rule for minor component extraction information criteria
title_fullStr Direction convergence analysis of weighted rule for minor component extraction information criteria
title_full_unstemmed Direction convergence analysis of weighted rule for minor component extraction information criteria
title_short Direction convergence analysis of weighted rule for minor component extraction information criteria
title_sort direction convergence analysis of weighted rule for minor component extraction information criteria
topic minor subspace extraction algorithm;weighted rule;parallel minor component analysis
url http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2020014
work_keys_str_mv AT boyangdu directionconvergenceanalysisofweightedruleforminorcomponentextractioninformationcriteria
AT xiangyukong directionconvergenceanalysisofweightedruleforminorcomponentextractioninformationcriteria
AT xiaoweifeng directionconvergenceanalysisofweightedruleforminorcomponentextractioninformationcriteria