Word-length optimization of an adaptive noise canceller

  • Authors:
  • V. Rodellar;A. Muñoz;A. Álvarez;E. Martinez;C. González;P. Gómez

  • Affiliations:
  • Facultad de Informática, Universidad Politecnica de Madrid, Madrid, Spain;Facultad de Informática, Universidad Politecnica de Madrid, Madrid, Spain;Facultad de Informática, Universidad Politecnica de Madrid, Madrid, Spain;Facultad de Informática, Universidad Politecnica de Madrid, Madrid, Spain;Facultad de Informática, Universidad Politecnica de Madrid, Madrid, Spain;Facultad de Informática, Universidad Politecnica de Madrid, Madrid, Spain

  • Venue:
  • SIP'06 Proceedings of the 5th WSEAS international conference on Signal processing
  • Year:
  • 2006

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Abstract

In this paper the determination of the optimal word-length of the variables implicated in a noise adaptive canceller based on a gradient lattice-ladder algorithm is presented. Upper and lower bounds from the variables are determined from a set of spoken words.