Presentation 1998/3/6
Super-Exponential Algorithms for Multichannel Blind Deconvolution
Yujiro INOUYE, Kazuaki TANEBE,
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Abstract(in English) Multichannel blind deconvolution has received increasing attention during the last decade. Recently, Martone extended the super-exponential method proposed by Shalvi and Weinstein for single-channel blind decon-volution to multichannel blind deconvolution.However, the Martone extension suffers from two type of serious drawbackes.The first one is that it can be only applied to the case whereall the elements of input sources possess identical variances and idential 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.The objective of this paper is to obviate these drawbacks and to derive super-exponential algorithms for multichannel blind deconvolution.
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Keyword(in English) multichannel blind deconvolution / equalizer / cumulant / deta communication
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Committee CS
Conference Date 1998/3/6(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Super-Exponential Algorithms for Multichannel Blind Deconvolution
Sub Title (in English)
Keyword(1) multichannel blind deconvolution
Keyword(2) equalizer
Keyword(3) cumulant
Keyword(4) deta communication
1st Author's Name Yujiro INOUYE
1st Author's Affiliation Department of Electronic and Control Systems Engineering, Shimane University()
2nd Author's Name Kazuaki TANEBE
2nd Author's Affiliation Department of Systems Engineering, Faculty of Engineering Science, Osaka University
Date 1998/3/6
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Volume (vol) vol.97
Number (no) 585
Page pp.pp.-
#Pages 8
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