An active impulsive noise control algorithm with logarithmic transformation

Wu, L; He, H; Qiu, X

An active impulsive noise control algorithm with logarithmic transformation

Wu, L He, H Qiu, X

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Publication Type:: Journal Article
Citation:: IEEE Transactions on Audio, Speech and Language Processing, 2011, 19 (4), pp. 1041 - 1044
Issue Date:: 2011-04-06

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Field	Value	Language
dc.contributor.author	Wu, L	en_US
dc.contributor.author	He, H	en_US
dc.contributor.author	Qiu, X https://orcid.org/0000-0002-5181-1220	en_US
dc.date.issued	2011-04-06	en_US
dc.identifier.citation	IEEE Transactions on Audio, Speech and Language Processing, 2011, 19 (4), pp. 1041 - 1044	en_US
dc.identifier.issn	1558-7916	en_US
dc.identifier.uri	http://hdl.handle.net/10453/115893
dc.description.abstract	To overcome the limitations of the existing algorithms for active impulsive noise control, an algorithm based on minimizing the squared logarithmic transformation of the error signal is proposed in this correspondence. The proposed algorithm is more robust for impulsive noise control and does not need the parameter selection and thresholds estimation according to the noise characteristics. These are verified by theoretical analysis and numerical simulations. © 2010 IEEE.	en_US
dc.relation.ispartof	IEEE Transactions on Audio, Speech and Language Processing	en_US
dc.relation.isbasedon	10.1109/TASL.2010.2061227	en_US
dc.subject.classification	Speech-Language Pathology & Audiology	en_US
dc.title	An active impulsive noise control algorithm with logarithmic transformation	en_US
dc.type	Journal Article
utslib.citation.volume	4	en_US
utslib.citation.volume	19	en_US
utslib.for	091301 Acoustics and Noise Control (excl. Architectural Acoustics)	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
pubs.embargo.period	Not known	en_US
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.issue	4	en_US
pubs.publication-status	Published	en_US
pubs.volume	19	en_US

Abstract:

To overcome the limitations of the existing algorithms for active impulsive noise control, an algorithm based on minimizing the squared logarithmic transformation of the error signal is proposed in this correspondence. The proposed algorithm is more robust for impulsive noise control and does not need the parameter selection and thresholds estimation according to the noise characteristics. These are verified by theoretical analysis and numerical simulations. © 2010 IEEE.

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http://hdl.handle.net/10453/115893