Expected performance of a family of blind source separation algorithms in a reverberant room

Using statistical room acoustics, we investigate the performance of blind source separation and deconvolution (BSSD) algorithms when used in a reverberant room. We focus on the case where one of the sources moves, and examine the relative impact of source movement and room reverberation on the expected performance. We derive theoretical expressions, and verify these through image model simulations.