4.1 Article

Sparse component analysis and blind source separation of underdetermined mixtures

Journal

IEEE TRANSACTIONS ON NEURAL NETWORKS
Volume 16, Issue 4, Pages 992-996

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TNN.2005.849840

Keywords

blind source separation (BSS); sparse component analysis (SCA); underdetermined mixtures

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In this letter, we solve the problem of identifying matrices S is an element of R-n x N and A is an element of R-m x 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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