Sparse Component Analysis and Blind Source Separation of Underdetermined Mixtures
Pando Georgiev, Fabian Joachim Theis, Andrzej S Cichocki · IEEE Transactions on Neural Networks · 2005
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.