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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/79602
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dc.contributor.authorDas, D.-
dc.contributor.authorMoreau, D.-
dc.contributor.authorCazzolato, B.-
dc.date.issued2013-
dc.identifier.citationControl Engineering Practice, 2013; 21(4):544-555-
dc.identifier.issn0967-0661-
dc.identifier.urihttp://hdl.handle.net/2440/79602-
dc.description.abstractIn this paper, a feed-forward nonlinear active noise control algorithm is developed using the Filtered-S LMS (FSLMS) algorithm and virtual microphone control for an active headrest application. Virtual microphone control is implemented to attenuate noise at the ears of the headrest occupant using the physical microphones placed at remote locations. The proposed nonlinear virtual microphone control algorithm is verified in real-time in a headrest. Different nonlinear noise processes are studied and it is shown that in all cases, the FSLMS algorithm outperforms the FXLMS algorithm in controlling nonlinear primary noise at a virtual location. © 2012 Elsevier Ltd.-
dc.description.statementofresponsibilityDebi Prasad Das, Danielle J. Moreau, Ben S.Cazzolato-
dc.language.isoen-
dc.publisherPergamon-Elsevier Science Ltd-
dc.rights© 2012 Elsevier Ltd. All rights reserved.-
dc.source.urihttp://dx.doi.org/10.1016/j.conengprac.2012.11.007-
dc.subjectActive noise control-
dc.subjectFiltered-S LMS algorithm-
dc.subjectVirtual ANC-
dc.subjectNonlinear ANC-
dc.subjectHarmonic nonlinearity-
dc.subjectTransformer noise-
dc.titleNonlinear active noise control for headrest using virtual microphone control-
dc.typeJournal article-
dc.identifier.doi10.1016/j.conengprac.2012.11.007-
pubs.publication-statusPublished-
dc.identifier.orcidCazzolato, B. [0000-0003-2308-799X]-
Appears in Collections:Aurora harvest 4
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Mechanical Engineering publications

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