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

L Lu, KL Yin, RC de Lamare, Z Zheng, Y Yu, X Yang… - Signal Processing, 2021 - Elsevier
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 …

Recent advances on active noise control: open issues and innovative applications

Y Kajikawa, WS Gan, SM Kuo - APSIPA Transactions on Signal and …, 2012 - cambridge.org
The problem of acoustic noise is becoming increasingly serious with the growing use of
industrial and medical equipment, appliances, and consumer electronics. Active noise …

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

L Lu, KL Yin, RC de Lamare, Z Zheng, Y Yu, X Yang… - Signal Processing, 2021 - Elsevier
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 …

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

NV George, G Panda - Signal processing, 2013 - Elsevier
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 …

Active impulsive noise control using maximum correntropy with adaptive kernel size

L Lu, H Zhao - Mechanical Systems and Signal Processing, 2017 - Elsevier
The active noise control (ANC) based on the principle of superposition is an attractive
method to attenuate the noise signals. However, the impulsive noise in the ANC systems will …

A robust filtered-s LMS algorithm for nonlinear active noise control

NV George, G Panda - Applied Acoustics, 2012 - Elsevier
The performance of a nonlinear active noise control (ANC) system based on the recently
developed filtered-s least mean square (FsLMS) algorithm deteriorates when strong …

A modified adaptive weight-constrained FxLMS algorithm for feedforward active noise control systems

H Meng, S Chen - Applied Acoustics, 2020 - Elsevier
The weight-constrained filtered-x least mean square (CFxLMS) algorithm with a fixed
parameter shows slow convergence speed and weak noise reduction performance under …

Adaptive Volterra filter with continuous lp-norm using a logarithmic cost for nonlinear active noise control

L Lu, H Zhao - Journal of Sound and Vibration, 2016 - Elsevier
The filtered-x least mean lp-norm (FxLMP) algorithm is proven to be useful for nonlinear
active noise control (NANC) systems. However, its performance deteriorates when the …

Review on Active Noise Control Technology for α-Stable Distribution Impulsive Noise

S Chen, F Gu, C Liang, H Meng, K Wu… - Circuits, Systems, and …, 2022 - Springer
This paper provides a detailed overview of active impulsive noise control (AINC) technology
of α-stable distribution noise. The second-order moment of the non-Gaussian impulsive …

Convex combination of the FxAPV algorithm for active impulsive noise control

L Wang, K Chen, J Xu - Mechanical Systems and Signal Processing, 2022 - Elsevier
Conventional active noise control systems suffer from performance degradation when
exposed to impulsive interference. Taking the maximum Versoria criterion (MVC) function as …