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 …

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 …

Stochastic analysis of the filtered-x LMS algorithm for active noise control

F Yang, J Guo, J Yang - IEEE/ACM Transactions on Audio …, 2020 - ieeexplore.ieee.org
The filtered-x least-mean-square (FxLMS) algorithm has been widely used for the active
noise control. A fundamental analysis of the convergence behavior of the FxLMS algorithm …

Practical implementation of multichannel filtered-x least mean square algorithm based on the multiple-parallel-branch with folding architecture for large-scale active …

D Shi, WS Gan, J He, B Lam - IEEE Transactions on Very Large …, 2019 - ieeexplore.ieee.org
Multichannel active noise control (MCANC) is widely recognized as an effective and efficient
solution for acoustic noise and vibration cancellation, such as in high-dimensional …

Secondary path modeling for narrowband active noise control systems

CY Chang, SM Kuo, CW Huang - Applied Acoustics, 2018 - Elsevier
This work examines the performance of both offline and online secondary path modeling
algorithms that are used in narrowband active noise control (NANC) systems. Theoretical …

Feedforward active noise control with a new variable tap-length and step-size filtered-X LMS algorithm

DC Chang, FT Chu - IEEE/ACM transactions on audio, speech …, 2014 - ieeexplore.ieee.org
The fixed tap-length and step-size filtered-X least mean-square (FxLMS) algorithm is
conventionally used in active noise control (ANC) systems. A tradeoff between the …

[PDF][PDF] A review on filtered-x LMS algorithm

S Gaur, VK Gupta - Int. J. Signal Process. Syst, 2016 - ijsps.com
In this review paper, a summary of study on previous research on Filtered-X LMS (FxLMS)
algorithm is presented. The review is done on the basis of two parameters-first one is based …

Fractional normalised filtered‐error least mean squares algorithm for application in active noise control systems

SM Shah, R Samar, MAZ Raja… - Electronics Letters, 2014 - Wiley Online Library
A novel fractional normalised filtered‐error least mean squares (FN‐FeLMS) algorithm is
designed for secondary path modelling in active noise control systems. The update is …

Variable threshold-based selective updating algorithms in feed-forward active noise control systems

MS Aslam, P Shi, CC Lim - … on Circuits and Systems I: Regular …, 2018 - ieeexplore.ieee.org
Selective updating (SU)-based adaptive algorithms are proposed for secondary path
estimation and noise control in active noise control systems. Use of the proposed variable …

Binormalized data-reusing adaptive filtering algorithm for active control of impulsive sources

MT Akhtar - Digital Signal Processing, 2016 - Elsevier
The main objective of active noise control (ANC) is to provide attenuation for the
environmental acoustic noise. The adaptive algorithms for ANC systems work well to …