Blind Separation of Acoustic Signals Combining SIMO-Model-Based Independent Component Analysis and Binary Masking-Reference-Cited by-同舟云学术

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Blind Separation of Acoustic Signals Combining SIMO-Model-Based Independent Component Analysis and Binary Masking

Published:2006-09-12 Issue:1 Volume:2006 Page:
ISSN:1687-6180
Container-title:EURASIP Journal on Advances in Signal Processing
language:en
Short-container-title:EURASIP J. Adv. Signal Process.

Author:

Mori Yoshimitsu,Saruwatari Hiroshi,Takatani Tomoya,Ukai Satoshi,Shikano Kiyohiro,Hiekata Takashi,Ikeda Youhei,Hashimoto Hiroshi,Morita Takashi

Publisher

Springer Science and Business Media LLC

Link

http://link.springer.com/content/pdf/10.1155/ASP/2006/34970.pdf

Reference35 articles.

1. Haykin S (Ed): Unsupervised Adaptive Filtering. John Wiley & Sons, New York, NY, USA; 2000.

2. Cardoso JF: Eigenstructure of the 4th-order cumulant tensor with application to the blind source separation problem. Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '89), May 1989, Glasgow, UK 2109-2112.

3. Jutten C, Herault J: Blind separation of sources, part I: an adaptive algorithm based on neuromimetic architecture. Signal Processing 1991, 24(1):1-10. 10.1016/0165-1684(91)90079-X

4. Comon P: Independent component analysis. A new concept? Signal Processing 1994, 36(3):287-314. 10.1016/0165-1684(94)90029-9

5. Bell AJ, Sejnowski TJ: An information-maximization approach to blind separation and blind deconvolution. Neural Computation 1995, 7(6):1129-1159. 10.1162/neco.1995.7.6.1129

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