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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Uloženo v:
Podrobná bibliografie
Vydáno v:Signal processing Ročník 183; s. 108039
Hlavní autoři: Lu, Lu, Yin, Kai-Li, de Lamare, Rodrigo C., Zheng, Zongsheng, Yu, Yi, Yang, Xiaomin, Chen, Badong
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier B.V 01.06.2021
Témata:
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
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Abstract 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.
AbstractList 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.
ArticleNumber 108039
Author Zheng, Zongsheng
Lu, Lu
Yu, Yi
de Lamare, Rodrigo C.
Chen, Badong
Yang, Xiaomin
Yin, Kai-Li
Author_xml – sequence: 1
  givenname: Lu
  orcidid: 0000-0002-6077-0977
  surname: Lu
  fullname: Lu, Lu
  organization: School of Electronics and Information Engineering, Sichuan University, Chengdu, Sichuan 610065, China
– sequence: 2
  givenname: Kai-Li
  surname: Yin
  fullname: Yin, Kai-Li
  organization: School of Computer Science, Sichuan University, Chengdu, Sichuan 610065, China
– sequence: 3
  givenname: Rodrigo C.
  surname: de Lamare
  fullname: de Lamare, Rodrigo C.
  email: delamare@cetuc.puc-rio.br
  organization: CETUC, PUC-Rio, Rio de Janeiro 22451-900, Brazil
– sequence: 4
  givenname: Zongsheng
  surname: Zheng
  fullname: Zheng, Zongsheng
  organization: School of Electrical Engineering, Sichuan University, Chengdu, 610065, China
– sequence: 5
  givenname: Yi
  surname: Yu
  fullname: Yu, Yi
  organization: School of Information Engineering, Robot Technology Used for Special Environment Key Laboratory of Sichuan Province, Southwest University of Science and Technology, Mianyang 621010, China
– sequence: 6
  givenname: Xiaomin
  surname: Yang
  fullname: Yang, Xiaomin
  email: arielyang@scu.edu.cn
  organization: School of Electronics and Information Engineering, Sichuan University, Chengdu, Sichuan 610065, China
– sequence: 7
  givenname: Badong
  surname: Chen
  fullname: Chen, Badong
  email: chenbd@mail.xjtu.edu.cn
  organization: School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an 710049, China
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ID FETCH-LOGICAL-c306t-e51d4c5bc29c11eac3b28926dd0d2f21d7872c2b8da4f2eb73fedae072c4ddf53
ISICitedReferencesCount 134
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ISSN 0165-1684
IngestDate Sat Nov 29 07:26:06 EST 2025
Tue Nov 18 22:27:08 EST 2025
Fri Feb 23 02:45:12 EST 2024
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Keywords Adaptive filtering
FxLMS-based algorithms
Distributed algorithms
Active noise control
Language English
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-c306t-e51d4c5bc29c11eac3b28926dd0d2f21d7872c2b8da4f2eb73fedae072c4ddf53
ORCID 0000-0002-6077-0977
ParticipantIDs crossref_primary_10_1016_j_sigpro_2021_108039
crossref_citationtrail_10_1016_j_sigpro_2021_108039
elsevier_sciencedirect_doi_10_1016_j_sigpro_2021_108039
PublicationCentury 2000
PublicationDate June 2021
2021-06-00
PublicationDateYYYYMMDD 2021-06-01
PublicationDate_xml – month: 06
  year: 2021
  text: June 2021
PublicationDecade 2020
PublicationTitle Signal processing
PublicationYear 2021
Publisher Elsevier B.V
Publisher_xml – name: Elsevier B.V
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Snippet Active noise control (ANC) is an effective way for reducing the noise level in electroacoustic or electromechanical systems. Since its first introduction in...
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SubjectTerms Active noise control
Adaptive filtering
Distributed algorithms
FxLMS-based algorithms
Title A survey on active noise control in the past decade—Part I: Linear systems
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