Sparse component analysis and blind source separation of underdetermined mixtures

Pando G. Georgiev,Fabian J Theis,A. Cichocki

Published 2005 in IEEE Transactions on Neural Networks

ABSTRACT

In this letter, we solve the problem of identifying matrices S /spl isin/ /spl Ropf//sup n/spl times/N/ and A /spl isin/ /spl Ropf//sup m/spl times/n/ knowing only their multiplication X = AS, under some conditions, expressed either in terms of A and sparsity of S (identifiability conditions), or in terms of X (sparse component analysis (SCA) conditions). We present algorithms for such identification and illustrate them by examples.

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