General conditions of stability in blind source separation models and score function selection

Author:

Vigneron Vincent,Aubry Ludovic,Jutten Christian

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference21 articles.

1. Superefficiency in blind source separation;Amari;IEEE Signal Process,1999

2. Stability analysis of adaptive blind source separation;Amari;Neural Networks,1997

3. S.I. Amari, A. Cichoki, H.H. Yang, A new learning algorithm for blind signal separation, in: D.S. Toureysky et al. (Eds.), Neural Information Processing Systems, 1995, pp. 757–763.

4. J.-F. Cardoso, Statistical principles of source separation, in: Proceedings of the SYSID’97, 11th IFAC Symposium on System Identification, Fukuoka, Japan, 1997, pp. 1837–1844.

5. J.-F. Cardoso, On the stability of some source separation algorithms, in: Proceedings of the 1998 IEEE SP Workshop on Neural Networks for Signal Processing (NNSP’98), 1998, pp. 13–22.

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1. Fisher Information in Source Separation Problems;Independent Component Analysis and Blind Signal Separation;2004

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