Presentation	2001/5/18 A Pair Learning Algorithm for Multi-Channel Blind Source Separation and Its Convergence Analysis Takayuki Sakai, Kenji Nakayama, Akihiro Hirano,
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Abstract(in English)	A pair learning algorithm is proposed in this paper. A feedback weight c_(n) from the jth output y_j(n) to the ith observation x_i(n) is updated using only the ith and jth outputs. Then, this method is called "Pair Learning Algorithm". This algorithm is compared with a global learning algorithm, which use all outputs in updating the feedback weights. The proposed method is a simplified version of the global one, then, the number of computations is reduced and a learning process is simplified. Separation performance of the global method is slightly better than the pair learning. However, their difference is small. Furthermore, the following properties are analyzed: Order of the separated signal sources is dependent on power of the signal sources included in the observations. Magnitude of the separated signal sources are uniquely determined in the pair learning algorithm after convergence. Squashing nonlinear functions have effects of stabilizing the learning process. Simulation using voices, white noise and music signal sources are demonstrated.
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Keyword(in English)	Blind separation / Multi-channel / Computational load / Convergence / Stabilization / Nonlinear function
Paper #	NC2001-7
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Conference Information
Committee	NC
Conference Date	2001/5/18(1days)
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Paper Information
Registration To	Neurocomputing (NC)
Language	ENG
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	A Pair Learning Algorithm for Multi-Channel Blind Source Separation and Its Convergence Analysis
Sub Title (in English)
Keyword(1)	Blind separation
Keyword(2)	Multi-channel
Keyword(3)	Computational load
Keyword(4)	Convergence
Keyword(5)	Stabilization
Keyword(6)	Nonlinear function
1st Author's Name	Takayuki Sakai
1st Author's Affiliation	Division of Electronics and Computer Science, Graduate School of Natural Science and Technology Kanazawa University()
2nd Author's Name	Kenji Nakayama
2nd Author's Affiliation	Dept. of Information and Systems Eng. Faculty of Eng. Kanazawa University
3rd Author's Name	Akihiro Hirano
3rd Author's Affiliation	Dept. of Information and Systems Eng. Faculty of Eng. Kanazawa University
Date	2001/5/18
Paper #	NC2001-7
Volume (vol)	vol.101
Number (no)	94
Page	pp.pp.-
#Pages	8
Date of Issue