Presentation 2004/9/10
Blind Signal Separation : Super-Exponential Methods
Yujiro Inouye,
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Abstract(in English) Blind signal processing technology has received increasing attention during the last decade. Based on incomplete observations of multiple signals, it attempts to find or estimate a model fitting the signals, and to extract or estimate the original source components. In this paper, we deal with multichannel blind deconvolution (or, blind signal separation) for digital communications. Recently, Martone extended the super-exponential method proposed by Shalvi and Weinstein for single-channel blind deconvolution to multichannel blind deconvolution. However, Martone extension suffers from two types of serious drawbacks. The first one is that it can be applied to the case where all the elements of input sources possess identical variances and identical fourth-order cumulants. The second one is that the algorithm fails to converge to a desired solution, except when it starts in a small vicinity of the desired solution. In order to obviate these drawbacks, Inouye and Tanebe developed the super-exponential methods for multichannel blind deconvolution (or, blind signal separation). In this paper we introduce their results to present the super-exponential algorithms for multichannel blind deconvolution.
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Keyword(in English) Blind Signal Processing / Multichannel Blind Deconvolution / Equalizers / Cumulants / Data Communications
Paper # EA2004-69,SIP2004-73,SIS2004-40
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Conference Information
Committee EA
Conference Date 2004/9/10(1days)
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Registration To Engineering Acoustics (EA)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Blind Signal Separation : Super-Exponential Methods
Sub Title (in English)
Keyword(1) Blind Signal Processing
Keyword(2) Multichannel Blind Deconvolution
Keyword(3) Equalizers
Keyword(4) Cumulants
Keyword(5) Data Communications
1st Author's Name Yujiro Inouye
1st Author's Affiliation Department of Electronic and Control Systems Engineering, Shimane University()
Date 2004/9/10
Paper # EA2004-69,SIP2004-73,SIS2004-40
Volume (vol) vol.104
Number (no) 304
Page pp.pp.-
#Pages 8
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