Wind noise suppression in filtered-x least mean squares-based active noise control systems.

Chu, Y; Zhao, S; He, L; Niu, F

Wind noise suppression in filtered-x least mean squares-based active noise control systems.

Chu, Y Zhao, S

He, L Niu, F

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Publisher:: Nature Research
Publication Type:: Journal Article
Citation:: Journal of the Acoustical Society of America, 2022, 152, (6), pp. 3340-3345
Issue Date:: 2022-12

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Field	Value	Language
dc.contributor.author	Chu, Y
dc.contributor.author	Zhao, S https://orcid.org/0000-0002-6261-8864
dc.contributor.author	He, L
dc.contributor.author	Niu, F
dc.date.accessioned	2023-01-19T03:10:34Z
dc.date.available	2023-01-19T03:10:34Z
dc.date.issued	2022-12
dc.identifier.citation	Journal of the Acoustical Society of America, 2022, 152, (6), pp. 3340-3345
dc.identifier.issn	0001-4966
dc.identifier.issn	1520-8524
dc.identifier.uri	http://hdl.handle.net/10453/165191
dc.description.abstract	Wind noise is notorious for its detrimental impacts on audio devices. This letter evaluates the influence of wind noise on the active noise control performance of headphones in a wind tunnel, and the noise reduction is found to decrease with wind speeds. To improve the performance of noise control systems in windy environments, the filtered-x least mean squares algorithm is modified based on the total least squares technique, taking the characteristics of wind noise into account. Computer simulations with real-recorded data demonstrate that the proposed algorithm could improve the noise reduction by approximately 3 dB in windy conditions.
dc.format	Print
dc.language	eng
dc.publisher	Nature Research
dc.relation.ispartof	Journal of the Acoustical Society of America
dc.relation.isbasedon	10.1121/10.0016443
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	Acoustics
dc.title	Wind noise suppression in filtered-x least mean squares-based active noise control systems.
dc.type	Journal Article
utslib.citation.volume	152
utslib.location.activity	United States
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2023-01-19T03:10:33Z
pubs.issue	6
pubs.publication-status	Published
pubs.volume	152
utslib.citation.issue	6

Abstract:

Wind noise is notorious for its detrimental impacts on audio devices. This letter evaluates the influence of wind noise on the active noise control performance of headphones in a wind tunnel, and the noise reduction is found to decrease with wind speeds. To improve the performance of noise control systems in windy environments, the filtered-x least mean squares algorithm is modified based on the total least squares technique, taking the characteristics of wind noise into account. Computer simulations with real-recorded data demonstrate that the proposed algorithm could improve the noise reduction by approximately 3 dB in windy conditions.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/165191