Presentation 2005/9/10
A Feedback Structure and Its Learning Algorithm for Overcomplete Blind Source Separation
Haruo KATOU, Kenji NAKAYAMA, Akihiro HIRANO,
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Abstract(in English) A feedback structure and its learning algorithm are proposed for overcomplete blind source separation (BSS). The number of sources is larger than that of the sensors. In the proposed method, the signal sources are separated in several groups. Among them, at least one output can separate a single signal source under some condition. The outputs of the unmixing block are evaluated, which output provides a single signal source. The separated single signal source is fed back to the input node, and subtracted from the input signal, in order to reduce the number of equivalent signal sources.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Signal source separation / Overcomplete / Speech signal / Learning algorithm / Fundamental period
Paper # SIP2005-92,SIS2005-41,SP2005-74
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Committee SIS
Conference Date 2005/9/10(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Feedback Structure and Its Learning Algorithm for Overcomplete Blind Source Separation
Sub Title (in English)
Keyword(1) Signal source separation
Keyword(2) Overcomplete
Keyword(3) Speech signal
Keyword(4) Learning algorithm
Keyword(5) Fundamental period
1st Author's Name Haruo KATOU
1st Author's Affiliation Division of Electronics and Computer Science Graduate School of Natural Science & Technology, Kanazawa Univ.()
2nd Author's Name Kenji NAKAYAMA
2nd Author's Affiliation Division of Electrical Engineering and Computer Science Graduate School of Natural Science and Technology, Kanazawa Univ.
3rd Author's Name Akihiro HIRANO
3rd Author's Affiliation Division of Electrical Engineering and Computer Science Graduate School of Natural Science and Technology, Kanazawa Univ.
Date 2005/9/10
Paper # SIP2005-92,SIS2005-41,SP2005-74
Volume (vol) vol.105
Number (no) 295
Page pp.pp.-
#Pages 6
Date of Issue