Second-Order Blind Source Separation Based on Multi-dimensional Autocovariances-Reference-Cited by-同舟云学术

Second-Order Blind Source Separation Based on Multi-dimensional Autocovariances

Published:2004 Issue: Volume: Page:726-733
ISSN:0302-9743
Container-title:Independent Component Analysis and Blind Signal Separation
language:
Short-container-title:

Author:

Theis Fabian J.,Meyer-Bäse Anke,Lang Elmar W.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-30110-3_92

Reference12 articles.

1. Cichocki, A., Amari, S.: Adaptive blind signal and image processing. John Wiley & Sons, Chichester (2002)

2. Hyvärinen, A., Karhunen, J., Oja, E.: Independent component analysis. John Wiley & Sons, Chichester (2001)

3. Tong, L., Liu, R.W., Soon, V., Huang, Y.F.: Indeterminacy and identifiability of blind identification. IEEE Transactions on Circuits and Systems 38, 499–509 (1991)

4. Belouchrani, A., Meraim, K.A., Cardoso, J.F., Moulines, E.: A blind source separation technique based on second order statistics. IEEE Transactions on Signal Processing 45, 434–444 (1997)

5. Ziehe, A., Mueller, K.R.: TDSEP – an efficient algorithm for blind separation using time structure. In: Niklasson, L., Bodén, M., Ziemke, T. (eds.) Proc. of ICANN 1998, Skövde, Sweden, pp. 675–680. Springer, Berlin (1998)

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