What is behind the meta-learning initialization of adaptive filter?—a naive method for accelerating convergence of adaptive multichannel active noise control

D Shi, W Gan, X Shen, Z Luo, J Ji - Neural Networks, 2024 - Elsevier
Active noise control (ANC) is a typical signal-processing technique that has recently been
utilized extensively to combat the urban noise problem. Although numerous advanced …

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 …

A low-complexity multi-channel active noise control system using local secondary path estimation and clustered control strategy for vehicle interior engine noise

W Chen, Z Liu, L Hu, X Li, Y Sun, C Cheng, S He… - … Systems and Signal …, 2023 - Elsevier
Conventional multi-channel active noise control (ANC) system based on the adaptive notch
filtered-x least mean square algorithm is typically used for active control of vehicle interior …

The principle underlying the wireless reference microphone enhancing noise reduction performance in multi-channel active noise control windows

X Shen, J Ji, D Shi, Z Luo, WS Gan - Mechanical Systems and Signal …, 2024 - Elsevier
Multi-channel active noise control (ANC) is widely applied as a practical approach to
achieving a large noise cancellation area. However, the efficacy of the multi-channel ANC is …

Implementation of multi-channel active noise control based on back-propagation mechanism

Z Luo, D Shi, J Ji, W Gan - arXiv preprint arXiv:2208.08086, 2022 - arxiv.org
Active noise control (ANC) systems can efficiently attenuate low-frequency noises by
introducing anti-noises to combine with the unwanted noises. In ANC systems, the filtered-x …

Fast adaptive active noise control based on modified model-agnostic meta-learning algorithm

D Shi, WS Gan, B Lam, K Ooi - IEEE Signal Processing Letters, 2021 - ieeexplore.ieee.org
With the advent of efficient low-cost processors and electroacoustic components, there is
renewed interest in the practical implementation of active noise control (ANC). However, the …

A narrowband active noise control system with coarse frequency estimator and spectrum shifter

S Zhou, M Wu, Z Zhang, C Gong, J Chen, L Yin… - … Systems and Signal …, 2023 - Elsevier
The frequency of an internal synthetic reference signal that is inconsistent with that of the
noise signal is a serious problem in narrowband active noise control (NANC) system. This is …

Theoretical and experimental study of active vibration control of rotating composite laminated beams using Fx-NLMS algorithm

X Chen, Y Sun, M Yu, C Liu - Mechanical Systems and Signal Processing, 2025 - Elsevier
In the study, an adaptive active vibration control model of rotating composite laminated
beam is presented by using the filtered-x normalized least mean square (Fx-NLMS) …

A scalable hybrid analog-digital architecture for multi-channel feedforward active noise control

R Xie, C Shi, H Xiao, H Qin, H Li - Mechanical Systems and Signal …, 2024 - Elsevier
This paper proposes a hybrid analog-digital architecture, aimed at reducing hardware
resource consumption and improving the scalability of a multi-channel feedforward active …

Complex-valued impedance tiles to reduce noise emanating through openings in mechanical systems

E Yang, J Kim, W Jeon - Mechanical Systems and Signal Processing, 2024 - Elsevier
We present acoustic metasurfaces to achieve high noise reduction for an open structure,
which refers to a structure with openings, by manipulating complex impedances along unit …