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On Coefficient Delay in Natural Gradient Blind Deconvolution and Source Separation Algorithms

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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

In this paper, we study the performance effects caused by coefficient delays in natural gradient blind deconvolution and source separation algorithms. We present a statistical analysis of the effect of coefficient delays within such algorithms, quantifying the relative loss in performance caused by such coefficient delays with respect to delayless algorithm updates. We then propose a simple change to one such algorithm to improve its convergence performance.

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References

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Authors and Affiliations

  1. Department of Electrical Engineering, Southern Methodist University, Dallas, Texas, 75275, USA

    Scott C. Douglas

  2. NTT Communication Science Laboratories, NTT Corporation, Kyoto, 619-0237, Japan

    Hiroshi Sawada & Shoji Makino

Authors
  1. Scott C. Douglas
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  2. Hiroshi Sawada
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  3. Shoji Makino
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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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© 2004 Springer-Verlag Berlin Heidelberg

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Douglas, S.C., Sawada, H., Makino, S. (2004). On Coefficient Delay in Natural Gradient Blind Deconvolution and Source Separation Algorithms. 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_81

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  • DOI: https://doi.org/10.1007/978-3-540-30110-3_81

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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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