Advances in active noise control: A survey, with emphasis on recent nonlinear techniques

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dc.contributor.authorGeorge N.V.en_US
dc.contributor.authorPanda G.en_US
dc.date.accessioned2025-02-17T04:49:52Z
dc.date.issued2013
dc.description.abstractThis paper discusses the evolution of active noise control systems over the past 75 years. The focus of this study is on the use of signal processing and some recent soft computing tools on the development of active noise control systems. Special attention has been paid to the advances in nonlinear active noise control achieved during the past decade. � 2012 Elsevier B.V.en_US
dc.identifier.citation87en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.sigpro.2012.08.013
dc.identifier.urihttps://idr.iitbbs.ac.in/handle/2008/380
dc.language.isoenen_US
dc.subjectActive noise controlen_US
dc.subjectAdaptive filteren_US
dc.subjectAdaptive Volterra filteren_US
dc.subjectEvolutionary algorithmen_US
dc.subjectFiltered-x least-mean-square algorithmen_US
dc.subjectFunctional link artificial neural networken_US
dc.titleAdvances in active noise control: A survey, with emphasis on recent nonlinear techniquesen_US
dc.typeReviewen_US

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