Successive Approximations-Based Algorithm for Independent Component Analysis

The reported work proposes a new algorithm for the estimation of the ICA model, an algorithm based on successive approximations. We want to mathematically substantiate the successive approximations for the bidimensional case, a case which presents interest from a practical point of view, as well as to establish the performances of the proposed algorithm to estimate the independent components. Comparative analysis is performed and experimentally derived conclusions concerning the performance of the proposed method are reported in the final section of the paper for signals recognition applications.