A survey on adaptive active noise control algorithms overcoming the output saturation effect

Y Guo, D Shi, X Shen, J Ji, WS Gan - Signal Processing, 2024 - Elsevier
This paper presents a comparison of contemporary algorithms aimed at mitigating the
saturation-induced challenges in active noise control (ANC) systems. The saturation effect …

Real-time implementation and explainable AI analysis of delayless CNN-based selective fixed-filter active noise control

Z Luo, D Shi, J Ji, X Shen, WS Gan - Mechanical Systems and Signal …, 2024 - Elsevier
The selective fixed-filter active noise control (SFANC) approach can select suitable pre-
trained control filters for different types of noise. With the learning ability of convolutional …

Gfanc-rl: Reinforcement learning-based generative fixed-filter active noise control

Z Luo, H Ma, D Shi, WS Gan - Neural Networks, 2024 - Elsevier
Abstract The recent Generative Fixed-filter Active Noise Control (GFANC) method achieves
a good trade-off between noise reduction performance and system stability. However …

Contrastive meta-reinforcement learning for heterogeneous graph neural architecture search

Z Xu, J Wu - Expert Systems with Applications, 2025 - Elsevier
Abstract Heterogeneous Graph Neural Networks (HGNNs) have demonstrated significant
success in capturing complex interactions within heterogeneous graphs to learn graph …

Implementation of Kalman Filter Approach for Active Noise Control by Using MATLAB: Dynamic Noise Cancellation

G Yu - arXiv preprint arXiv:2402.06896, 2024 - arxiv.org
This article offers an elaborate description of a Kalman filter code employed in the active
control system. Conventional active noise management methods usually employ an …

Efficient modeling of liquid splashing via graph neural networks with adaptive filter and aggregator fusion

J Nan, P Feng, J Xu, F Feng - … Journal of Numerical Methods for Heat …, 2024 - emerald.com
Purpose The purpose of this study is to advance the computational modeling of liquid
splashing dynamics, while balancing simulation accuracy and computational efficiency, a …

Transferable Selective Virtual Sensing Active Noise Control Technique Based on Metric Learning

B Wang, D Shi, Z Luo, X Shen, J Ji, WS Gan - arXiv preprint arXiv …, 2024 - arxiv.org
Virtual sensing (VS) technology enables active noise control (ANC) systems to attenuate
noise at virtual locations distant from the physical error microphones. Appropriate auxiliary …

Implementation of the Feedforward Multichannel Virtual Sensing Active Noise Control (MVANC) by Using MATLAB

B Wang - arXiv preprint arXiv:2405.10510, 2024 - arxiv.org
The multichannel virtual sensing active noise control (MVANC) methodology is an advanced
approach that may provide a wide area of silence at specific virtual positions that are distant …

Computation-efficient Virtual Sensing Approach with Multichannel Adjoint Least Mean Square Algorithm

B Wang, J Ji, X Shen, D Shi, WS Gan - arXiv preprint arXiv:2405.14158, 2024 - arxiv.org
Multichannel active noise control (ANC) systems are designed to create a large zone of
quietness (ZoQ) around the error microphones, however, the placement of these …

Implementation of the Multichannel Filtered Reference Least Mean Square (McFxLMS) Algorithm with an Arbitrary Number of Channels by Using MATLAB

B Wang - arXiv preprint arXiv:2402.09449, 2024 - arxiv.org
Multichannel filtered reference least mean square (McFxLMS) algorithms are widely utilized
in adaptive multichannel active noise control (MCANC) applications. As a critical and high …