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

被引：147
作者：
George, Nithin V. [1 ]
Panda, Ganapati [1 ]
机构：
[1] Indian Inst Technol Bhubaneswar, Sch Elect Sci, Bhubaneswar 751013, Orissa, India
来源：
SIGNAL PROCESSING | 2013年 / 93卷 / 02期
关键词：
Active noise control; Adaptive filter; Filtered-x least-mean-square algorithm; Functional link artificial neural network; Adaptive Volterra filter; Evolutionary algorithm; AFFINE PROJECTION ALGORITHMS; LEAST-SQUARES ALGORITHMS; FILTERED-U ALGORITHM; X LMS ALGORITHM; CONTROL SYSTEM; CONVERGENCE ANALYSIS; FXLMS ALGORITHM; NEURAL-NETWORKS; STOCHASTIC-ANALYSIS; ADAPTIVE ALGORITHM;
D O I：
10.1016/j.sigpro.2012.08.013
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This 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. (c) 2012 Elsevier B.V. All rights reserved.
引用
收藏
页码：363 / 377
页数：15
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