An adaptive algorithm for ICA

A new adaptive algorithm for Independent Component Analysis (ICA) has been developed. It directly applies stochastic gradient descent on the independence criterion. The cost surface is seen to be fairly smooth. The developed algorithm is always stable. It converges faster than earlier algorithm. The algorithm is developed for general MxM system case. Experiments are given to verify the above.

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