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 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. (C) 2021 Elsevier B.V. All rights reserved.

Automated summary

This paper focuses on the development of ANC techniques over the past decade, including the research on linear ANC algorithms and nonlinear ANC techniques. It also summarizes novel methods and applications of ANC emerging in the past decade, and discusses future research challenges regarding the ANC technique.