Presentation 2005-05-19
Blind source separation on a time-frequency space
Akira MORIMOTO, Keiko FUJITA, Ryuichi ASHINO,
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Abstract(in English) The spatial mixture problem is considered. The estimation of the number of sources and source separation are given. We assume that the sources satisfy some independent condition in a time-frequency space. The number of sources is estimated by using the quotient of complex valued time-frequency information of the two observed signals. Then, we can separate the sources by sufficiently many observed signals. In this report, applications of this method are given.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) blind source separation / time-frequency space / time-frequency independence
Paper # EA2005-11,SIP2005-16
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Conference Information
Committee SIP
Conference Date 2005/5/12(1days)
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Paper Information
Registration To Signal Processing (SIP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Blind source separation on a time-frequency space
Sub Title (in English)
Keyword(1) blind source separation
Keyword(2) time-frequency space
Keyword(3) time-frequency independence
1st Author's Name Akira MORIMOTO
1st Author's Affiliation Division of Information Science, Osaka Kyoiku University()
2nd Author's Name Keiko FUJITA
2nd Author's Affiliation Faculty of Culture and Education, Saga university
3rd Author's Name Ryuichi ASHINO
3rd Author's Affiliation Division of Mathematical Sciences, Osaka Kyoiku University
Date 2005-05-19
Paper # EA2005-11,SIP2005-16
Volume (vol) vol.105
Number (no) 55
Page pp.pp.-
#Pages 6
Date of Issue