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Nonlinear blind source separation by pattern repulsion

  • Engeneering Applications
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Engineering Applications of Bio-Inspired Artificial Neural Networks (IWANN 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1607))

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Abstract

Blind source separation has been a topic of great interest for researchers in the last few years, and applications are starting to appear. Until now, most of the research and applications have focused on the separation of linear mixtures. In this paper we briefly discuss the problem of separation of nonlinear mixtures, and present a method for performing this kind of separation. We also present some experimental results.

This work was partially supported by PRAXIS project TIT/1585/95.

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Authors

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José Mira Juan V. Sánchez-Andrés

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© 1999 Springer-Verlag Berlin Heidelberg

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Almeida, L.B., Marques, G.C. (1999). Nonlinear blind source separation by pattern repulsion. In: Mira, J., Sánchez-Andrés, J.V. (eds) Engineering Applications of Bio-Inspired Artificial Neural Networks. IWANN 1999. Lecture Notes in Computer Science, vol 1607. Springer, Berlin, Heidelberg . https://doi.org/10.1007/BFb0100535

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  • DOI: https://doi.org/10.1007/BFb0100535

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66068-2

  • Online ISBN: 978-3-540-48772-2

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