Ambient noise canceller in pulmonary sound using WHT transform domain adaptive filter

Wei Shun Liao*, Bor-Shyh Lin, Bor Shing Lin, Huey Dong Wu, Fok Ching Chong

*Corresponding author for this work

Research output: Contribution to journalConference article

3 Scopus citations

Abstract

In the process of signal processing of pulmonary sounds, the cancellation of ambient noise is very important. Because the ambient noise is a wide band signal in frequency domain, it usually uses adaptive noise canceller (ANC) structure to cancel the ambient noise. However, the usually used algorithm, normalized least mean square (nLMS) algorithm, may fail when dealing with the ambient noise due to time-varying system because of its low convergence speed. In this paper we use transform domain adaptive filter (TDAF) with Walsh-Hadamard transform (WHT) to improve the convergence speed. The simulation results show that this structure would cancel the ambient noise more efficiently.

Keywords

  • Adaptive filter
  • Biomedical signal processing
  • Noise cancellation
  • Pulmonary sound
  • WHT

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