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

doi:10.1109/IEMBS.2002.1134400

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

Institute of Imaging and Biomedical Photonics

Research output: Contribution to journal › Conference article › peer-review

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.

Original language	English
Pages (from-to)	86-87
Number of pages	2
Journal	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume	1
DOIs	https://doi.org/10.1109/IEMBS.2002.1134400
State	Published - 1 Dec 2002
Event	Proceedings of the 2002 IEEE Engineering in Medicine and Biology 24th Annual Conference and the 2002 Fall Meeting of the Biomedical Engineering Society (BMES / EMBS) - Houston, TX, United States Duration: 23 Oct 2002 → 26 Oct 2002

Keywords

Adaptive filter
Biomedical signal processing
Noise cancellation
Pulmonary sound
WHT

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10.1109/IEMBS.2002.1134400

Cite this

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title = "Ambient noise canceller in pulmonary sound using WHT transform domain adaptive filter",

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",

author = "Liao, {Wei Shun} and Bor-Shyh Lin and Lin, {Bor Shing} and Wu, {Huey Dong} and Chong, {Fok Ching}",

year = "2002",

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doi = "10.1109/IEMBS.2002.1134400",

language = "English",

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pages = "86--87",

journal = "Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings",

issn = "0589-1019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "Proceedings of the 2002 IEEE Engineering in Medicine and Biology 24th Annual Conference and the 2002 Fall Meeting of the Biomedical Engineering Society (BMES / EMBS) ; Conference date: 23-10-2002 Through 26-10-2002",

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T1 - Ambient noise canceller in pulmonary sound using WHT transform domain adaptive filter

AU - Liao, Wei Shun

AU - Lin, Bor-Shyh

AU - Lin, Bor Shing

AU - Wu, Huey Dong

AU - Chong, Fok Ching

PY - 2002/12/1

Y1 - 2002/12/1

N2 - 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.

AB - 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.

KW - Adaptive filter

KW - Biomedical signal processing

KW - Noise cancellation

KW - Pulmonary sound

KW - WHT

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DO - 10.1109/IEMBS.2002.1134400

M3 - Conference article

AN - SCOPUS:0036912403

SN - 0589-1019

VL - 1

SP - 86

EP - 87

JO - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

JF - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

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Y2 - 23 October 2002 through 26 October 2002

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

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Keywords

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