An FFT-based algorithm for multichannel blind deconvolution

A new update equation for the general multichannel blind deconvolution (MCBD) of a convolved mixture of source signals is derived. It is based on the update equation for blind source separation (BSS), which has been shown to be an alternative interpretation [1] of the natural gradient applied to the minimization of some mutual information criterion [2]. Computational complexity is held at a minimum by carrying out the separation/equalization task in the frequency domain. The algorithm is compared to similar known blind algorithms and its validity is demonstrated by simulations of real-world acoustic filters. In order to assess the performance of the algorithm, performance measures for multichannel blind deconvolution of signals are given in the paper.