Presentation 2013-12-21
Method to Solve Permutation Problem on Frequency Domain Blind Source Separation using Phase Linearity
Takahiro ISHIZU, Hidekazu FUKAI,
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Abstract(in English) In several types of Blind Source Separation (BSS), the convolutive Blind Source Separation remains a difficult problem. Frequency Domain Blind Source Separation (FD-BSS) is known as one way to solve the convolutive BSS, in which we apply short time Fourier transform on observation signals and apply common BSS or ICA on each frequencies. Generally, FD-BSS has so called permutation problems. In this paper, we propose a new method to solve the problem according to the linearity of the phase shift on the frequencies. To estimate the angle of the linearity, we apply the Hough transform so that we do not need to care about direction of arrival nor spatial aliasing.
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Keyword(in English) BSS / BSD / ICA / permutation problem / phase linearity / Hough Transform
Paper # NC2013-54
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Committee NC
Conference Date 2013/12/14(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Method to Solve Permutation Problem on Frequency Domain Blind Source Separation using Phase Linearity
Sub Title (in English)
Keyword(1) BSS
Keyword(2) BSD
Keyword(3) ICA
Keyword(4) permutation problem
Keyword(5) phase linearity
Keyword(6) Hough Transform
1st Author's Name Takahiro ISHIZU
1st Author's Affiliation Department of Information Science, Graduate School of Engineering, Gifu University()
2nd Author's Name Hidekazu FUKAI
2nd Author's Affiliation Department of Information Science, Graduate School of Engineering, Gifu University
Date 2013-12-21
Paper # NC2013-54
Volume (vol) vol.113
Number (no) 374
Page pp.pp.-
#Pages 4
Date of Issue