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Independent Component Analysis: A Low-Complexity Technique

  • Conference paper
New Challenges on Bioinspired Applications (IWINAC 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,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.

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References

  1. Comon, P., Jutten, C. (eds.): Handbook of blind source separation, independent componet analysis and applications. Elsevier, Amsterdam (2010)

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Author information

Authors and Affiliations

  1. Departamento de Teoría de la Señal y Comunicaciones, Escuela S. de Ingenieros, University of Seville, Avda. de los Descubrimientos, s/n., 41092, Seville, Spain

    Rubén Martín-Clemente, Susana Hornillo-Mellado & José Luis Camargo-Olivares

Authors
  1. Rubén Martín-Clemente
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  2. Susana Hornillo-Mellado
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  3. José Luis Camargo-Olivares
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Editor information

Editors and Affiliations

  1. Departamento de Electrónica, Tecnología de Computadoras y Proyectos, Universidad Politécnica de Cartagena, Pl. Hospital, 1, 30201, Cartagena, Spain

    José Manuel Ferrández  & F. Javier Toledo  & 

  2. E.T.S. de Ingeniería Informática, Departamento de Inteligencia Artificial, Universidad Nacional de Educación a Distancia, Juan del Rosal, 16, 28040, Madrid, Spain

    José Ramón Álvarez Sánchez

  3. E.T.S. de Ingeniería Informática, Dapartamento de Inteligencia Artificial, Universidad Nacional de Educación a Distancia, Juan del Rosal, 16, 28040, Madrid, Spain

    Félix de la Paz

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© 2011 Springer-Verlag Berlin Heidelberg

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Martín-Clemente, R., Hornillo-Mellado, S., Camargo-Olivares, J.L. (2011). Independent Component Analysis: A Low-Complexity Technique. In: Ferrández, J.M., Álvarez Sánchez, J.R., de la Paz, F., Toledo, F.J. (eds) New Challenges on Bioinspired Applications. IWINAC 2011. Lecture Notes in Computer Science, vol 6687. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21326-7_35

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  • DOI: https://doi.org/10.1007/978-3-642-21326-7_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21325-0

  • Online ISBN: 978-3-642-21326-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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