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A fast recursive-least-squares adaptive notch filter and its applications to biomedical signals

  • Physiological Signal Analysis
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Abstract

A fast recursive-least-squares (FRLS) adaptive notch filter (ANF) for cancellation of sinusoidal interference from recorded biomedical signals is investigated. The FRLS ANF is derived by making an approximation to the conventional recursive-least-squares (RLS) ANF for computation economy. It outperforms the commonly adopted least-mean-squares (LMS) ANF, demonstrating a rapid and bandwidth-insensitive initial convergence. A novel application of the FRLS ANF is for the elimination of the tonal artefact in distortion product otoacoustic emission (DPOAE) signals.

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Authors and Affiliations

  1. Department of Electronic Engineering, The Chinese University of Hong Kong, Shatin, N. T., Hong Kong

    W. K. Ma & Y. T. Zhang

  2. Department of Electrical Engineering, Tsinghua University, Beijing, People's Republic of China

    W. K. Ma & F. S. Yang

Authors
  1. W. K. Ma
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  2. Y. T. Zhang
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  3. F. S. Yang
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Correspondence to W. K. Ma.

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Ma, W.K., Zhang, Y.T. & Yang, F.S. A fast recursive-least-squares adaptive notch filter and its applications to biomedical signals. Med. Biol. Eng. Comput. 37, 99–103 (1999). https://doi.org/10.1007/BF02513273

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  • DOI: https://doi.org/10.1007/BF02513273

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