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Independent Component Analysis: A Low-Complexity Technique

  • Rubén Martín-Clemente
  • Susana Hornillo-Mellado
  • José Luis Camargo-Olivares
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6687)

Abstract

This paper presents a new algorithm to solve the Independent Component Analysis (ICA) problem that has a very low computational complexity. The most remarkable feature of the proposed algorithm is that it does not need to compute higher-order statistics (HOS). In fact, the algorithm is based on trying to guess the sign of the independent components, after which it approximates the rest of the values.

Keywords

Independent Component Analysis Blind Signal Separation 

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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Rubén Martín-Clemente
    • 1
  • Susana Hornillo-Mellado
    • 1
  • José Luis Camargo-Olivares
    • 1
  1. 1.Departamento de Teoría de la Señal y Comunicaciones, Escuela S. de IngenierosUniversity of SevilleSevilleSpain

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