Joint Matrices Decompositions and Blind Source Separation
Gilles Chabriel, Martin Kleinsteuber, Éric Moreau, Hao Shen, Petr Tichavský, Arie Yeredor · ASEP · 2014
This article provides a comprehensive survey of matrix joint decomposition techniques in the context of source separation. More precisely, we first intend to elaborate upon the signal models leading to different useful sets of matrices and their joint decompositions. Second, we present recent identifiability results and algorithms in distinguishing important classes.