Presentation	2003/3/11 Fast Blind Source Separtion with Discrete Cosine Transform Toshinari MIYASAKA, Nari TANABE, Toshihiro FURUKAWA,
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Abstract(in English)	In this report, we propose to reduce calculation in the blind source separation of the convoluted mixtures using second order statistics. We using the Discrete Cosine Transform coefficient and basis vectors instead of computing eigenvalues and eigenvectors of autocorrelation function of the observed source. We confirm that our method is equivalent to traditional method by the performance on the listening tests.
Keyword(in Japanese)	(See Japanese page)
Keyword(in English)	Blind Source Separation / Convoluted Mixtures / Discrete Cosine Transform
Paper #	CAS2002-157,DSP2002-232,CS2002-172
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Committee	CAS
Conference Date	2003/3/11(1days)
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Paper Information
Registration To	Circuits and Systems (CAS)
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Fast Blind Source Separtion with Discrete Cosine Transform
Sub Title (in English)
Keyword(1)	Blind Source Separation
Keyword(2)	Convoluted Mixtures
Keyword(3)	Discrete Cosine Transform
1st Author's Name	Toshinari MIYASAKA
1st Author's Affiliation	Graduate School of Engineering, Tokyo University of Science()
2nd Author's Name	Nari TANABE
2nd Author's Affiliation	Dept. of Communications and Integrated Systems, Tokyo Institute of Technology
3rd Author's Name	Toshihiro FURUKAWA
3rd Author's Affiliation	Tokyo University of Science
Date	2003/3/11
Paper #	CAS2002-157,DSP2002-232,CS2002-172
Volume (vol)	vol.102
Number (no)	716
Page	pp.pp.-
#Pages	6
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