A Modification of the Gradient Algorithm for Blind Signal Separation

We present a new gradient algorithm to perform blind signal separation (BSS). The algorithm is obtained by taking a trade-off between the ordinary gradient algorithm and the natural gradient algorithm. It provides a better performance than the ordinary gradient algorithm and is free from small-step-size restriction of the natural gradient algorithm. In addition, the algorithm has less computation than the other gradient algorithms. For theoretical support of our algorithm, local stability on desired solutions is proven for a simple network. Simulation results indicate that the algorithm efficiently provides a solution for BSS.