A survey on active noise control in the past decade–Part II: Nonlinear systems

  • Lu Lu
  • , Kai Li Yin
  • , Rodrigo C. de Lamare
  • , Zongsheng Zheng
  • , Yi Yu
  • , Xiaomin Yang
  • , Badong Chen

Research output: Contribution to journalReview articlepeer-review

109 Scopus citations

Abstract

Part I of this paper reviewed the development of the linear active noise control (ANC) technique in the past decade. However, ANC systems might have to deal with some nonlinear components and the performance of linear ANC techniques may degrade in this scenario. To overcome this limitation, nonlinear ANC (NLANC) algorithms were developed. In Part II, we review the development of NLANC algorithms during the last decade. The contributions of heuristic ANC algorithms are outlined. Moreover, we emphasize recent advances of NLANC algorithms, such as spline ANC algorithms, kernel adaptive filters, and nonlinear distributed ANC algorithms. Then, we present recent applications of ANC technique including linear and nonlinear perspectives. Future research challenges regarding ANC techniques are also discussed.

Original languageEnglish
Article number107929
JournalSignal Processing
Volume181
DOIs
StatePublished - Apr 2021

Keywords

  • Artificial neural networks
  • Kernel adaptive filters
  • Nonlinear active noise control
  • Volterra algorithms

Fingerprint

Dive into the research topics of 'A survey on active noise control in the past decade–Part II: Nonlinear systems'. Together they form a unique fingerprint.

Cite this