Separation capability of overcomplete ICA approaches

  • Authors:
  • Markus Borschbach;Imke Hahn

  • Affiliations:
  • University of Münster, Dept. of Mathematics and Natural Science, Münster, Germany;University of Münster, Dept. of Mathematics and Natural Science, Münster, Germany

  • Venue:
  • SIP'07 Proceedings of the 6th Conference on 6th WSEAS International Conference on Signal Processing - Volume 6
  • Year:
  • 2007

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Abstract

This paper discusses a wavelet-based Vector Quantization technique for the compression of Electromyogram (EMG) signals. Wavelet coefficients, obtained from EMG signal samples, are arranged to form a set of vectors called Tree Vectors (TVs), where each ...