Fast approximation of nonlinearities for improving inversion algorithms of PNL mixtures and Wiener systems
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[1] Christian Jutten,et al. Quasi-nonparametric blind inversion of Wiener systems , 2001, IEEE Trans. Signal Process..
[2] Christian Jutten,et al. Entropy Optimization - Application to Blind Source Separation , 1997, ICANN.
[3] T. Sejnowski,et al. Separation of post-nonlinear mixtures using ACE and temporal decorrelation , 2001 .
[4] Christian Jutten,et al. What should we say about the kurtosis? , 1999, IEEE Signal Processing Letters.
[5] Thomas M. Cover,et al. Elements of Information Theory , 2005 .
[6] Christian Jutten,et al. Source separation in post-nonlinear mixtures , 1999, IEEE Trans. Signal Process..
[7] Andrzej Cichocki,et al. Information-theoretic approach to blind separation of sources in non-linear mixture , 1998, Signal Process..
[8] Lucas C. Parra,et al. Statistical Independence and Novelty Detection with Information Preserving Nonlinear Maps , 1996, Neural Computation.
[9] 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.