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

^*此作品的通信作者

影像與生醫光電研究所

研究成果: Conference article › 同行評審

3 引文斯高帕斯（Scopus）

摘要

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.

原文	English
頁（從 - 到）	86-87
頁數	2
期刊	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
卷	1
DOIs	https://doi.org/10.1109/IEMBS.2002.1134400
出版狀態	Published - 1 12月 2002
事件	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 持續時間: 23 10月 2002 → 26 10月 2002

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10.1109/IEMBS.2002.1134400

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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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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

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SN - 0589-1019

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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

T2 - 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)

Y2 - 23 October 2002 through 26 October 2002

ER -

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

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