A Non-linear Information Maximisation Algorithm that Performs Blind Separation
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[1] Athanasios Papoulis,et al. Probability, Random Variables and Stochastic Processes , 1965 .
[2] H. Saunders,et al. Probability, Random Variables and Stochastic Processes (2nd Edition) , 1989 .
[3] Peter Földiák,et al. Adaptation and decorrelation in the cortex , 1989 .
[4] Christian Jutten,et al. Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architecture , 1991, Signal Process..
[5] J J Hopfield,et al. Olfactory computation and object perception. , 1991, Proceedings of the National Academy of Sciences of the United States of America.
[6] John C. Platt,et al. Networks for the Separation of Sources that Are Superimposed and Delayed , 1991, NIPS.
[7] Pierre Comon,et al. Blind separation of sources, part II: Problems statement , 1991, Signal Process..
[8] Ralph Linsker,et al. Local Synaptic Learning Rules Suffice to Maximize Mutual Information in a Linear Network , 1992, Neural Computation.
[9] Helen Suzanna Becker,et al. An information-theoretic unsupervised learning algorithm for neural networks , 1993 .
[10] Pierre Comon,et al. Independent component analysis, A new concept? , 1994, Signal Process..
[11] Terrence J. Sejnowski,et al. An Information-Maximization Approach to Blind Separation and Blind Deconvolution , 1995, Neural Computation.