Information-theoretic approach to blind separation of sources in non-linear mixture
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[1] Shun-ichi Amari,et al. Adaptive Online Learning Algorithms for Blind Separation: Maximum Entropy and Minimum Mutual Information , 1997, Neural Computation.
[2] Te-Won Lee,et al. Blind source separation of nonlinear mixing models , 1997, Neural Networks for Signal Processing VII. Proceedings of the 1997 IEEE Signal Processing Society Workshop.
[3] H. H. Yang,et al. Information backpropagation for blind separation of sources in nonlinear mixture , 1997, Proceedings of International Conference on Neural Networks (ICNN'97).
[4] Christian Jutten,et al. Nonlinear source separation: the post-nonlinear mixtures , 1997, ESANN.
[5] Jack D. Cowan,et al. Source Separation and Density Estimation by Faithful Equivariant SOM , 1996, NIPS.
[6] Jean-François Cardoso,et al. Equivariant adaptive source separation , 1996, IEEE Trans. Signal Process..
[7] Andrzej Cichocki,et al. Robust neural networks with on-line learning for blind identification and blind separation of sources , 1996 .
[8] Dinh-Tuan Pham,et al. Blind separation of instantaneous mixture of sources via an independent component analysis , 1996, IEEE Trans. Signal Process..
[9] Shun-ichi Amari,et al. Two Gradient Descent Algorithms for Blind Signal Separation , 1996, ICANN.
[10] A. Hyvärinen,et al. Nonlinear Blind Source Separation by Self-Organizing Maps , 1996 .
[11] Andrzej Cichocki,et al. A New Learning Algorithm for Blind Signal Separation , 1995, NIPS.
[12] Terrence J. Sejnowski,et al. An Information-Maximization Approach to Blind Separation and Blind Deconvolution , 1995, Neural Computation.
[13] Shun-ichi Amari,et al. Recurrent Neural Networks For Blind Separation of Sources , 1995 .
[14] Pierre Comon,et al. Independent component analysis, A new concept? , 1994, Signal Process..
[15] Gilles Burel,et al. Blind separation of sources: A nonlinear neural algorithm , 1992, Neural Networks.