Please use this identifier to cite or link to this item:
|Title:||A robust filtered-s LMS algorithm for nonlinear active noise control|
|Keywords:||Active noise control|
Filtered-s least mean square algorithm
Functional link artificial neural network
|Abstract:||The performance of a nonlinear active noise control (ANC) system based on the recently developed filtered-s least mean square (FsLMS) algorithm deteriorates when strong disturbances in the ANC system are acquired by the microphones. To surmount this shortcoming, a novel robust FsLMS (RFsLMS) algorithm is proposed for a functional link artificial neural network (FLANN) based ANC system. The new ANC system is least sensitive to such disturbances and does not call for any prior information on the noise characteristics. The results obtained from simulation study establish the effectiveness of this new ANC scheme. � 2012 Elsevier Ltd. All rights reserved.|
|Appears in Collections:||Research Publications|
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.