Filtered-s LMS algorithm for multichannel active control of nonlinear noise processes

被引：62
|
作者：
Das, Debi Prasad [1 ]
Mohapatra, Swagat Ranjan [1 ]
Routray, Aurobinda [1 ]
Basu, T. K. [1 ]
机构：
[1] Indian Inst Technol, Dept Elect Engn, Kharagpur, W Bengal, India
来源：
IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING | 2006年 / 14卷 / 05期
关键词：
active noise control (ANC); filtered-s LMS algorithm; multichannel ANC; nonlinear ANC;
D O I：
10.1109/TSA.2005.858543
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
This correspondence proposes a novel nonlinear adaptive algorithm named as filtered-s least mean square (FSLMS) algorithm for multichannel active control of nonlinear noise processes. A reduced complexity FSLMS algorithm using filter bank approach is also suggested. The performance of the proposed algorithm is validated through computer simulations for nonlinear noise processes. It is demonstrated that the proposed method outperforms the conventional filtered-x least mean square algorithm and second-order Volterra filtered-x LMS (VFXLMS) algorithm for control of nonlinear noise processes. Computational complexity analysis shows the proposed method involves lesser number of computations as compared to second-order VFXLMS algorithm.
引用
收藏
页码：1875 / 1880
页数：6
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