Presentation 2012-03-09
A Convergence Analysis of G-NPAST Algorithm for Extracting the First Principal Generalized Eigenvector
Tuan Duong NGUYEN, Isao YAMADA,
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Abstract(in English) In our previous work, we established the convergence analysis of the normalized projection approximation subspace tracking (NPAST) algorithm, for extracting the first principal eigenvector of an autocorrelation matrix, via a deterministic discrete time (DDT) approach. In this technical report, we extend the analysis to the convergence analysis of an algorithm (we call G-NPAST) by J. Yang et al.('06), which is developed for generalized symmetric eigenvalue problem. Indeed, we have shown that G-NPAST is nothing but a generalization of NPAST. The proposed analysis shows that G-NPAST can be applied to the general case where the generalized eigenvalues are not necessarily distinct. Numerical examples further confirm the results.
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Keyword(in English) Generalized symmetric eigenvalue problem / First principal generalized eigenvector / Normalized projection approximation subspace tracking (NPAST) / Generalized NPAST (G-NPAST) / Deterministic discrete time (DDT) approach
Paper # CAS2011-160,SIP2011-180,CS2011-152
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Committee CAS
Conference Date 2012/3/1(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
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Title (in English) A Convergence Analysis of G-NPAST Algorithm for Extracting the First Principal Generalized Eigenvector
Sub Title (in English)
Keyword(1) Generalized symmetric eigenvalue problem
Keyword(2) First principal generalized eigenvector
Keyword(3) Normalized projection approximation subspace tracking (NPAST)
Keyword(4) Generalized NPAST (G-NPAST)
Keyword(5) Deterministic discrete time (DDT) approach
1st Author's Name Tuan Duong NGUYEN
1st Author's Affiliation Department of Communications and Integrated Systems, Tokyo Institute of Technology()
2nd Author's Name Isao YAMADA
2nd Author's Affiliation Department of Communications and Integrated Systems, Tokyo Institute of Technology
Date 2012-03-09
Paper # CAS2011-160,SIP2011-180,CS2011-152
Volume (vol) vol.111
Number (no) 465
Page pp.pp.-
#Pages 4
Date of Issue