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Delayed AMUSE – A Tool for Blind Source Separation and Denoising

  • Ana R. Teixeira
  • Ana Maria Tomé
  • Elmar W. Lang
  • Kurt Stadlthanner
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3195)

Abstract

In this work we propose a generalized eigendecomposition (GEVD) of a matrix pencil computed after embedding the data into a high-dim feature space of delayed coordinates. The matrix pencil is computed like in AMUSE but in the feature space of delayed coordinates. Its GEVD yields filtered versions of the source signals as output signals. The algorithm is implemented in two EVD steps. Numerical simulations study the influence of the number of delays and the noise level on the performance.

Keywords

Heart Rate Variability Source Signal Sensor Signal Blind Source Separation Singular Spectrum Analysis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Ana R. Teixeira
    • 1
  • Ana Maria Tomé
    • 1
  • Elmar W. Lang
    • 2
  • Kurt Stadlthanner
    • 2
  1. 1.Departamento de Electrónica e Telecomunicações/IEETAUniversidade de AveiroAveiroPortugal
  2. 2.Institute of Biophysics, Neuro- and Bioinformatics GroupUniversity of RegensburgRegensburgGermany

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