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Please use this identifier to cite or link to this item: http://hdl.handle.net/10061/8063

Title: Efficient Blind Source Separation Combining Closed-Form Second-Order ICA and Nonclosed-Form Higher-Order ICA
Authors: Kentaro Tachibana
Hiroshi Saruwatari
Yoshimitsu Mori
Shigeki Miyabe
Kiyohiro Shikano
Akira Tanaka
Keywords: Separation
speech enhancement
acoustic arrays
acoustic signal processing
adaptive signal processing
Issue Date: Apr-2007
Publisher: IEEE
Start page: I45
End page: I48
Abstract: In this paper, first, we propose a computational-cost efficient blind source separation combining closed-form 2nd-order independent component analysis (ICA) and nonclosed-form higher-order ICA. The closed-form solution of the 2nd-order ICA has been recently presented by one of the authors. This finding motivates us to combine the closed-form 2nd-order ICA and higher-order ICA, where the preceding closed-form ICA produces a good initial value and the following higher-order ICA updates the separation filters from the advantageous status. Secondly, we utilize the proposed architecture to address an essential question that which type of statistics is more beneficial to ICA among non-stationarity and non-Gaussianity. This can be conducted owing to the attractive property that the closed-form ICA can provide a good estimate of the theoretical upper limitation of the separation performance among 2nd-order ICAs without suffering from poor-convergence problems. Experimental results reveal that the non-Gaussianity-based ICA can outperform the non-stationarity-based ICA.
Description: ICASSP2007: IEEE International Conference on Acoustics, Speech, and Signal Processing, April 15-20, 2007, Honolulu, Hawaii, USA.
URI: http://hdl.handle.net/10061/8063
ISBN: 1424407273
ISSN: 1520-6149
Rights: Copyright 2007 IEEE
Text Version: Publisher
Publisher DOI: 10.1109/ICASSP.2007.366612
Appears in Collections:情報科学研究科 / Graduate School of Information Science

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