Presentation 2004-11-25
Reducing Arbitrary of Scaling for Frequency-Domain Blind Source Separation
Saneyuki KOBAYASHI, Toshihiro FURUKAWA,
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Abstract(in English) Blind source separation (BSS) is a technique for estimating original source signals using only sensor observations that are mixtures of the original signals. We discuss frequency-domain 1CA (FDICA). Because FDICA has an advantage that mixtures regard convolutive case as instantaneous one. Two kinds of arbitraries are generated in BSS, because of evaluating only the statistical independency of signals. One of arbitraries is Scaling and the other is Permutation. By these arbitraries, separated signals will become distorted.In this paper, we discuss arbitrary of Scaling and prove that the arbitrary of Scaling is reduced by making the difference of the power of separated signals and the power of observated signals into the minimum. We propose new algorithm that minimizes the difference of the power for BSS and show the effectiveness of our method by the computer simulation.
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Keyword(in English) Blind source separation / convolutive mixture / Frequency-Domain ICA / arbitrary of Scaling
Paper # OCS2004-116,OFT2004-59
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Committee OFT
Conference Date 2004/11/18(1days)
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Registration To Optical Fiber Technology (OFT)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Reducing Arbitrary of Scaling for Frequency-Domain Blind Source Separation
Sub Title (in English)
Keyword(1) Blind source separation
Keyword(2) convolutive mixture
Keyword(3) Frequency-Domain ICA
Keyword(4) arbitrary of Scaling
1st Author's Name Saneyuki KOBAYASHI
1st Author's Affiliation Faculty of Engineering, First University()
2nd Author's Name Toshihiro FURUKAWA
2nd Author's Affiliation Faculty of Engineering, First University
Date 2004-11-25
Paper # OCS2004-116,OFT2004-59
Volume (vol) vol.104
Number (no) 458
Page pp.pp.-
#Pages 6
Date of Issue