A hybrid sfanc-fxnlms algorithm for active noise control based on deep learning

Z Luo, D Shi, WS Gan - IEEE Signal Processing Letters, 2022 - ieeexplore.ieee.org
The selective fixed-filter active noise control (SFANC) method selecting the best pre-trained
control filters for various types of noise can achieve a fast response time. However, it may …

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 …

Delayless generative fixed-filter active noise control based on deep learning and bayesian filter

Z Luo, D Shi, WS Gan, Q Huang - IEEE/ACM Transactions on …, 2023 - ieeexplore.ieee.org
The selective fixed-filter active noise control (SFANC) method can select suitable pre-trained
control filters to attenuate incoming noises. However, the limited number of pre-trained filters …

Multichannel two-gradient direction filtered reference least mean square algorithm for output-constrained multichannel active noise control

D Shi, B Lam, X Shen, WS Gan - Signal Processing, 2023 - Elsevier
Multichannel active noise control is a proven and long-standing technique for achieving a
large zone of quiet in enclosures and open spaces. In practice, the multichannel active noise …

Gfanc-kalman: Generative fixed-filter active noise control with cnn-kalman filtering

Z Luo, D Shi, X Shen, J Ji… - IEEE Signal Processing …, 2023 - ieeexplore.ieee.org
Selective Fixed-filter Active Noise Control (SFANC) is limited by its selection of a single
candidate from pre-trained control filters. In contrast, Generative Fixed-filter Active Noise …

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 …

Active noise control in the new century: The role and prospect of signal processing

D Shi, B Lam, WS Gan, J Cheer… - INTER-NOISE and …, 2023 - ingentaconnect.com
Since Paul Leug's 1933 patent application for a system for the active control of sound, the
field of active noise control (ANC) has not flourished until the advent of digital signal …

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 …

Performance evaluation of selective fixed-filter active noise control based on different convolutional neural networks

Z Luo, D Shi, WS Gan, Q Huang… - INTER-NOISE and …, 2023 - ingentaconnect.com
Due to its rapid response time and a high degree of robustness, the selective fixed-filter
active noise control (SFANC) method appears to be a viable candidate for widespread use …

Investigation and Evaluation of Adaptive Algorithms for Multichannel Active Noise Control System

R Zhang - arXiv preprint arXiv:2308.15485, 2023 - arxiv.org
This dissertation focuses on the investigation and evaluation of adptive algorithms for
multichannel active noise control system. The aim of the research is to investigate the …