A survey on active noise control in the past decade—Part I: Linear systems

Active noise control (ANC) is an effective way for reducing the noise level in electroacoustic or electromechanical systems. Since its first introduction in 1936, this approach has been greatly developed. This paper focuses on discussing the development of ANC techniques over the past decade. Linear...

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Bibliographic Details
Published in:Signal processing Vol. 183; p. 108039
Main Authors: Lu, Lu, Yin, Kai-Li, de Lamare, Rodrigo C., Zheng, Zongsheng, Yu, Yi, Yang, Xiaomin, Chen, Badong
Format: Journal Article
Language:English
Published: Elsevier B.V 01.06.2021
Subjects:
Active noise control
Adaptive filtering
Distributed algorithms
FxLMS-based algorithms
Adaptive filtering
FxLMS-based algorithms
Distributed algorithms
Active noise control
ISSN:0165-1684, 1872-7557
Online Access:Get full text
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Summary:Active noise control (ANC) is an effective way for reducing the noise level in electroacoustic or electromechanical systems. Since its first introduction in 1936, this approach has been greatly developed. This paper focuses on discussing the development of ANC techniques over the past decade. Linear ANC algorithms, including the celebrated filtered-x least-mean-square (FxLMS)-based algorithms and distributed ANC algorithms, are investigated and evaluated. Nonlinear ANC (NLANC) techniques, such as functional link artificial neural network (FLANN)-based algorithms, are pursued in Part II. Furthermore, some novel methods and applications of ANC emerging in the past decade are summarized. Finally, future research challenges regarding the ANC technique are discussed.
ISSN:0165-1684
1872-7557
DOI:10.1016/j.sigpro.2021.108039