DocumentCode :
2684678
Title :
Efficient Blind Source Separation Combining Closed-Form Second-Order ICA and Nonclosed-Form Higher-Order ICA
Author :
Tachibana, Kentaro ; Saruwatari, Hiroshi ; Mori, Yoshimitsu ; Miyabe, Shigeki ; Shikano, Kiyohiro ; Tanaka, Akira
Author_Institution :
Nara Inst. of Sci. & Technol.
Volume :
1
fYear :
2007
fDate :
15-20 April 2007
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.
Keywords :
blind source separation; filtering theory; independent component analysis; blind source separation; closed-form second-order ICA; independent component analysis; non-Gaussianity-based ICA; nonclosed-form higher-order ICA; separation filters; Acoustic signal processing; Blind source separation; Closed-form solution; Cost function; Filters; Independent component analysis; Microphones; Signal processing; Source separation; Speech enhancement; Separation; acoustic arrays; acoustic signal processing; adaptive signal processing; speech enhancement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
Conference_Location :
Honolulu, HI
ISSN :
1520-6149
Print_ISBN :
1-4244-0727-3
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2007.366612
Filename :
4217012
Link To Document :
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