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Please use this identifier to cite or link to this item: http://idr.iitbbs.ac.in/jspui/handle/2008/235
Title: On the development of adaptive hybrid active noise control system for effective mitigation of nonlinear noise
Authors: George N.V.
Panda G.
Keywords: Active noise control
Filtered-s least mean square algorithm
Functional link artificial neural network
Infinite impulse response filter
Issue Date: 2012
Citation: 38
Abstract: The presence of nonlinearities as well as acoustic feedback deteriorates the cancellation performance of the conventional filtered-x LMS (FxLMS) algorithm based active noise control (ANC) systems. With an objective to improve the performance, a novel filtered-su LMS (FsuLMS) algorithm based ANC system which employs a convex combination of an adaptive IIR filter with a functional link artificial neural network (FLANN) is proposed in this paper. The corresponding learning algorithm of the ANC system is derived and used in the simulation study for performance evaluation. Simulation study reveals enhanced performance of the proposed system over that of its component filters. � 2011 Elsevier B.V. All Rights Reserved.
URI: http://dx.doi.org/10.1016/j.sigpro.2011.08.016
http://10.10.32.48:8080/jspui/handle/2008/235
Appears in Collections:Research Publications

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