An Improved Algorithm for Estimating the ICA Model Concerning the Convergence Rate

Authors:
Doru Constantin;Luminita State
Affiliations:
Department of Computer Science, University of Pitesti, Romania;Department of Computer Science, University of Pitesti, Romania
Venue:
AMDO '08 Proceedings of the 5th international conference on Articulated Motion and Deformable Objects
Year:
2008

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Abstract

The aim of the present paper is to propose a estimation algorithm of the ICA model, an algorithm based on successive approximations. The convergence rate of the successive approximations method are substantiated for the bidimensional case, a case which presents interest from a practical point of view, and we want to establish the performances of the proposed algorithm to estimate the independent components. Comparative analysis is done and experimentally derived conclusions on the performance of the proposed method are drawn in the last section of the paper for signals recognition applications.