Presentation 2013-03-14
The Influence of Distribution Error on Blind Signal Separation Method Using PSO
Masanori KIMOTO, Shoya TOMITA, Kenya JIN'NO,
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Abstract(in English) Blind signal separation (BSS)is a technique for reconstructing each channel's source signal using only the observed mixed signal's information, and various technique have been proposed until up to now. For several years, we have proposed BSS method using the particle swarm optimization (PSO),which have attracted interests as heuristic optimization method recently. In this paper, we investigate the distribution error between source signal and separated signal with the cost function of this method, how sharpness of separation axe aifected by the setting its partition number or number of samples for its computation.
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Keyword(in English) Blind Signal Separation / Particle Swarm Optimization(PSO) / Distribution-Error
Paper # NLP2012-147
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Committee NLP
Conference Date 2013/3/7(1days)
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Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) The Influence of Distribution Error on Blind Signal Separation Method Using PSO
Sub Title (in English)
Keyword(1) Blind Signal Separation
Keyword(2) Particle Swarm Optimization(PSO)
Keyword(3) Distribution-Error
1st Author's Name Masanori KIMOTO
1st Author's Affiliation Department of Electrical and Electronics Engineering, Nippon Institute of Technology()
2nd Author's Name Shoya TOMITA
2nd Author's Affiliation Department of Electrical and Electronics Engineering, Nippon Institute of Technology
3rd Author's Name Kenya JIN'NO
3rd Author's Affiliation Department of Electrical and Electronics Engineering, Nippon Institute of Technology
Date 2013-03-14
Paper # NLP2012-147
Volume (vol) vol.112
Number (no) 487
Page pp.pp.-
#Pages 5
Date of Issue