4 papers
Deep Learning-Based Active Trim Panels for Enhanced Aircraft Interior Noise Control
Boxiang Wang, Malte Misol, Zhengding Luo +4
Active noise control (ANC) trim panels offer an effective solution to suppress multi-tonal noise in aircraft. The selective fixed-filter ANC (SFANC) method, characterized by low co…
Model-Agnostic Meta-Learning Initialization for Distributed Multichannel Active Noise Control
Xiaoyi Shen, Junwei Ji, Woon-Seng Gan +2
Distributed multichannel active noise control (DMCANC) has emerged as a scalable framework for large-area noise reduction, where multiple nodes operate local single-channel ANC con…
A Novel Monte Carlo Gradient Method Based on Meta-learning for Effective Step-size Selection in Active Noise Control
Luyuan Li, Jisheng Bai, Xiruo Su +3
Active noise control (ANC) is an effective approach to noise suppression, and the filtered-reference least mean square (FxLMS) algorithm is a widely adopted method in ANC systems,…
Preventing output saturation in active noise control: An output-constrained Kalman filter approach
Junwei Ji, Dongyuan Shi, Boxiang Wang +3
The Kalman filter (KF)-based active noise control (ANC) system demonstrates superior tracking and faster convergence compared to the least mean square (LMS) method, particularly in…