Entropy Optimization - Application to Blind Source Separation
Anisse Taleb, Christian Jutten · 1997
This paper proposes an approach for entropy optimization by neural networks. A brief introduction to this problem is given. A simple neural algorithm based upon MSE minimization is provided. Validation of this algorithm is given by an application to the Source Separation problem. 1