MASSIT - Multiresolution Analysis of Signal Subspace Invariance Technique: a novel algorithm for blind source separation

We developed (2001) a novel approach for blind source separation in multichannel signal processing environments. The technique, which relies on an inherent invariance property of the signal subspace across multiresolution levels obtained in the wavelet transform domain, showed robustness to amplitude and shift variations encountered in multi-unit neural recording environments. In this work, we extend the previous work to describe in detail a fast implementation of the algorithm and outline the criterion based on which the characterization of each source should be formulated. Results and performance evaluation that were not reported in the previous paper are illustrated in this paper.