Blind Multichannel Deconvolution Using Subspace-Based Single Delay Channel Deflation

In this contribution we present a new subspace based technique for the separation of convolutive complex mixtures. We show that using the SVD analysis of the delayed covariance mixture matrix, we can construct a subspace projector. The mixture signals when projected in that subspace lose their memory, yielding a set of instantaneous mixtures of the same sources. The instantaneous mixture model has been studied extensively in the past and there is a set of methods for blind source separation with proven efficiency. We performed actual source separation by transforming a convolutive MIMO system into a memoryless one and then employing a standard BSS method to obtain the original sources