Adaptive step size techniques for decorrelation and blind source separation

Careful selection of step size parameters is often necessary to obtain good performance from gradient-based adaptive algorithms for decorrelation and source separation tasks. In this paper, we provide an overview of methods for the on-line calculation of step size parameters for these systems. A particular emphasis is placed on gradient adaptive step sizes for a class of natural gradient algorithms for decorrelation and blind source separation. Simulations verifying their useful behaviors are provided.