A fixed point solution for convolved audio source separation

We examine the problem of blind audio source separation using independent component analysis (ICA). In order to separate audio sources recorded in a real recording environment, we need to model the mixing process as convolutional. Many methods have been introduced for separating convolved mixtures, the most successful of which require working in the frequency domain. This paper proposes a fixed-point algorithm for performing fast frequency domain ICA, as well as a method to increase the stability and enhance the performance of previous frequency domain ICA algorithms.