Algorithms for blind signal separation and recovery in static and dynamic environments
A.B. Gharbi, F.M. Salam · 2002
We propose update laws for the problem of blind separation in static and dynamic environments. The energy function is based on an approximation of the mutual information as a measure of independence. Both feedforward and feedback structures of the neural network are considered. A general framework to develop the update law for the dynamic model is proposed. Computer simulations to support the analytical work are provided.