More on stationnary points in Independent Component Analysis
نویسندگان
چکیده
In this paper, we will focus on the problem of blind source separation for independent and identically distributed variables (iid). The problem may be stated as follows: we observe a linear (unknown) mixture of k iid variables (the sources), and we want to recover either the sources or the linear mapping. We give online stability conditions of the algorithm using the eigenvalues of the hessian matrix of the pseudo-likelihood matching our set of observations.
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