More on stationnary points in Independent Component Analysis
Vincent Vigneron, Ludovic Aubry · 2001
Abstract. 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 algo-rithm using the eigenvalues of the hessian matrix of the pseudo-likelihood matching our set of observations. 1