Cebysev Coefficients --- Based Algorithm for Estimating the ICA Model

  • Authors:
  • Doru Constantin

  • Affiliations:
  • Department of Computer Science, University of Pitesti, Romania

  • Venue:
  • ICA '09 Proceedings of the 8th International Conference on Independent Component Analysis and Signal Separation
  • Year:
  • 2009

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Abstract

The aim of the present paper is to propose a new algorithm for the estimation of the ICA model, an algorithm based on Cebysev method. The first sections briefly present the standard FastICA algorithm based on the Newton method and a new version of the FastICA algorithm. The proposed algorithm to estimate the independent components use a superior order method as Cebysev coefficients technique. The final section presents the results of a comparative analysis experimentally derived conclusions concerning the performance of the proposed method. The tests were performed for signals source separation purposes.