Ambient noise canceller in pulmonary sound using WHT transform domain adaptive filter
Resource
[Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society] EMBS/BMES Conference, 2002. Proceedings of the Second Joint
Journal
[Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society] EMBS/BMES Conference, 2002. Proceedings of the Second Joint
Pages
-
Date Issued
2002
Date
2002
Author(s)
Liao, Wei-Shun
Lin, Bor-Shyh
Lin, Bor-Shing
Wu, Huey-Dong
Chong, Fok-Ching
DOI
1094-687X
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 the frequency domain, it usually uses an 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 the time-varying system because of its low convergence speed. We use a transform domain adaptive filter (TDAF) with a Walsh-Hadamard transform (WHT) to improve the convergence speed. The simulation results show that this structure would cancel the ambient noise more efficiently.
Type
journal article
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