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A Version of the FastICA Algorithm Based on the Secant Method Combined with Simple Iterations Method

  • Doru Constantin
  • Luminita State
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5099)

Abstract

The work proposes a new algorithm for the estimation of the ICA model, an algorithm based on secant method and successive approximations. 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 combines the secant iterations with successive approximations 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 of several samples of signal files.

Keywords

Independent Component Analysis Blind Source Separation Numerical Method 

References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Doru Constantin
    • 1
  • Luminita State
    • 1
  1. 1.Department of Computer ScienceUniversity of PitestiRomania

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