New blind separation algorithm using cumulant measure

We give a new blind source separation algorithm minimizing a new cost function which is the index of independence of separator outputs. We take the cost function using infinitely differentiable nonlinear function which has the compressed form of all cross-cumulants. Minimization of the cost function is performed by the parameters adaptation and for the fast adaptation, a modified steepest descent method is presented. Computer simulation results provide the validity of the proposed algorithm.