Adaptive Algorithm for Blind Separation from Noisy Time-Varying Mixtures

摘要

This article addresses the problem of blind source separation from time- varying noisy mixtures using a state variable model and recursive estima- tion. An estimate of each source signal is produced real time at the arrival of new observed mixture vector. The goal is to perform the separation and attenuate noise simultaneously, as well as to adapt to changes that occur in the mixing system.