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Blind source separation of linear mixtures with singular matrices

Georgiev, P. ; Theis, F.


We consider the Blind Source Separation problem of linear mixtures with singular matrices and show that it can be solved if the sources are sufficiently sparse. More generally, we consider the problem of identifying the source matrix S if a linear mixture X = AS is known only, where A is an (m x n)-matrix, m$\lt$=n and the rank of A is less than m. A sufficient condition for solving this problem ...


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