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A Conjugate Gradient Method and Simulated Annealing for Blind Separation of Sources

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Bio-Inspired Applications of Connectionism (IWANN 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2085))

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Abstract

This paper presents a new procedure for Blind Separation of non-Gaussian Sources. It is proven that the estimation of the separating system can be based on the cancellation of some second partial deriva- tives of the output cross-cumulants. The resulting method is based on a conjugate gradient algorithm on the Stiefel manifold. Simulated an- nealing is used to obtain a good initial value and improve the rate of convergence.

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Author information

Authors and Affiliations

  1. Área de Teoria de la Señal y Comunicaciones, Universidad de Sevilla, Avda. de los Descubrimientos sn., 41092, Sevilla

    Rubén Martin-Clemente & José I. Acha

  2. Departamento de Arquitectura, Tecnologia de Computadores, Universidad de Granada, E-18071, Granada

    Carlos G. Puntonet

Authors
  1. Rubén Martin-Clemente
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  2. José I. Acha
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  3. Carlos G. Puntonet
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Editor information

Editors and Affiliations

  1. Departamento de Inteligencia Artificial, Universidad Nacional de Educación a Distancia, Senda del Rey, s/n., 28040, Madrid, Spain

    José Mira

  2. Departamento de Arquitectura y Tecnología de Computadores, Universidad de Granada, Campus Fuentenueva, 18071, Granada, Spain

    Alberto Prieto

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© 2001 Springer-Verlag Berlin Heidelberg

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Martin-Clemente, R., Acha, J.I., Puntonet, C.G. (2001). A Conjugate Gradient Method and Simulated Annealing for Blind Separation of Sources. In: Mira, J., Prieto, A. (eds) Bio-Inspired Applications of Connectionism. IWANN 2001. Lecture Notes in Computer Science, vol 2085. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45723-2_98

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  • DOI: https://doi.org/10.1007/3-540-45723-2_98

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42237-2

  • Online ISBN: 978-3-540-45723-7

  • eBook Packages: Springer Book Archive

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