Presentation 1996/10/28
On a Solution for Blind Separation and its Stability in the Extended H-J Network
Tatsuya Nomura, Masaki Eguchi, Hiroaki Niwamoto, Fumio Kokubo, Masayuki Miyamoto,
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Abstract(in English) Blind Separation Problem means infering the inverse of the mixture matrix and extracting original signals using only observable signals into which original signals independent each other are linearly mixed. In order to cope with signals including delays not conventionally dealt with, we have proposed an extended model of the H-J network, one of the conventional methods for signals not including delays. In this paper, we verify the existence of solutions for blind separation in the coefficients and its stability of them in the learning of the coefficients in the extended H-J network.
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Keyword(in English) Signal Processing / Blind Separation Problem / Learning
Paper # NC96-42
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Committee NC
Conference Date 1996/10/28(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) On a Solution for Blind Separation and its Stability in the Extended H-J Network
Sub Title (in English)
Keyword(1) Signal Processing
Keyword(2) Blind Separation Problem
Keyword(3) Learning
1st Author's Name Tatsuya Nomura
1st Author's Affiliation ATR Human Information Processing Research Laboratories()
2nd Author's Name Masaki Eguchi
2nd Author's Affiliation Energy Conversion Laboratories, Sharp Corp.
3rd Author's Name Hiroaki Niwamoto
3rd Author's Affiliation Information Technology Research Laboratories, Sharp Corp.
4th Author's Name Fumio Kokubo
4th Author's Affiliation Energy Conversion Laboratories, Sharp Corp.
5th Author's Name Masayuki Miyamoto
5th Author's Affiliation Information Technology Research Laboratories, Sharp Corp.
Date 1996/10/28
Paper # NC96-42
Volume (vol) vol.96
Number (no) 331
Page pp.pp.-
#Pages 8
Date of Issue