Robust Prewhitening for ICA by Minimizing β-Divergence and Its Application to FastICA-Reference-Cited by-同舟云学术

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Robust Prewhitening for ICA by Minimizing β-Divergence and Its Application to FastICA

Published:2007-02-08 Issue:2 Volume:25 Page:91-110
ISSN:1370-4621
Container-title:Neural Processing Letters
language:en
Short-container-title:Neural Process Lett

Author:

Mollah Md Nurul Haque,Eguchi Shinto,Minami Mihoko

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software

Link

http://link.springer.com/content/pdf/10.1007/s11063-006-9023-8.pdf

Reference14 articles.

1. Belouchrani A., Cichocki A. (2000) Robust whitening procedure in blind source separation context. Electronics Letters 36(24): 2050–2053

2. Choi S., Cichocki A., Belouchrani A. (2002) Second order nonstationary source separation. Journal of VLSI Signal Processing 32(1–2): 93–104

3. Cichocki A., Amari S. (2002) Adaptive Blind Signal and Image Processing. Wiley, New York

4. Cardoso J.-F., Laheld B.H. (1996) Equivariant adaptive source separation. IEEE Trans. on Signal Processing 44(12): 3017–3030

5. Cardoso, J.-F.: Source separation using high order moments, In: Proceedings of IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP’89), pp. 2109–2112, Glasgow, UK, 1989. Neural Computation 11 (1999), 157–192.

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