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Adjoint nonlinear active noise control algorithm for virtual microphone

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dc.contributor.author Das, D.P.
dc.contributor.author Moreau, D.J.
dc.contributor.author Cazzolato, B.S.
dc.date.accessioned 2018-10-01T12:24:55Z
dc.date.available 2018-10-01T12:24:55Z
dc.date.issued 2012
dc.identifier.citation Mechanical Systems And Signal Processing, 27, 2012: 743-754
dc.identifier.issn 0888-3270
dc.identifier.uri http://ore.immt.res.in/handle/2018/1712
dc.description Department of Science and Technology, Govt. of India
dc.description.abstract Controlling nonlinear noise processes at a virtual location involves higher computational complexity compared to traditional active noise control (ANC) at a physical sensor. In an attempt to reduce the computational burden, a filtered-error LMS based ANC algorithm is proposed in this paper for controlling a nonlinear noise process at a virtual location. The filtered-error based algorithm using the adjoint of the secondary path is used to develop both linear and nonlinear ANC controllers with the later based on the functional link artificial neural network. A computer simulation and real-time experimental study with detailed computational complexity analysis are presented to support the proposed algorithm. (C) 2011 Elsevier Ltd. All rights reserved.
dc.language en
dc.publisher Elsevier
dc.relation.isreferencedby SCI
dc.rights Copyright [2012]. All efforts have been made to respect the copyright to the best of our knowledge. Inadvertent omissions, if brought to our notice, stand for correction and withdrawal of document from this repository.
dc.subject Engineering
dc.title Adjoint nonlinear active noise control algorithm for virtual microphone
dc.type Journal Article
dc.affiliation.author CSIR-IMMT, Bhubaneswar 751013, Odisha, India


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