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A Sufficient Condition for Separation of Deterministic Signals Based on Spatial Time-Frequency Representations

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Independent Component Analysis and Blind Signal Separation (ICA 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3195))

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Abstract

The paper is devoted to blind separation of deterministic source signals based on time-frequency representations. Our main result is to show that the joint-diagonalization of a number of spatial quadratic transform matrices of the observation signals is sufficient for separation and we give the minimum number. A computer simulation illustrate the result.

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Author information

Authors and Affiliations

  1. STD, ISITV, Université de Toulon, av. G. Pompidou, BP56, F-83162, La Valette du Var, Cedex, France

    Nadège Thirion-Moreau, El Mostafa Fadaili & Eric Moreau

Authors
  1. Nadège Thirion-Moreau
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  2. El Mostafa Fadaili
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  3. Eric Moreau
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Editor information

Editors and Affiliations

  1. Dept. of Architecture and Computer Technology, University of Granada, Spain

    Carlos G. Puntonet  & Alberto Prieto  & 

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Thirion-Moreau, N., Fadaili, E.M., Moreau, E. (2004). A Sufficient Condition for Separation of Deterministic Signals Based on Spatial Time-Frequency Representations. In: Puntonet, C.G., Prieto, A. (eds) Independent Component Analysis and Blind Signal Separation. ICA 2004. Lecture Notes in Computer Science, vol 3195. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30110-3_47

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  • DOI: https://doi.org/10.1007/978-3-540-30110-3_47

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23056-4

  • Online ISBN: 978-3-540-30110-3

  • eBook Packages: Springer Book Archive

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