From the 1 of 17 linked papers with an AI index.
17 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…
Spatial-Frequency Cued Generative Fixed-Filter Active Noise Control Based on Deep Learning in Reverberant Environments
Boxiang Wang, Haowen Li, Dongyuan Shi +4
The paper introduces a spatial‑frequency cued generative fixed‑filter active noise control (SF‑GFANC) system that uses a multi‑task CRNN to estimate 3D source location and filter c…
Predictive Fixed-Filter Active Noise Control (PFANC) Using Convolutional Recurrent Neural Networks for Dynamic Noises
Zhengding Luo, Haowen Li, Haozhe Ma +3
The existing Generative Fixed-Filter Active Noise Control (GFANC) method generates a suitable control filter based on the current noise frame. This reactive design aims to estimate…
Predictive Directional Selective Fixed-Filter Active Noise Control for Moving Sources via a Convolutional Recurrent Neural Network
Boxiang Wang, Zhengding Luo, Dongyuan Shi +3
Directional Selective Fixed-Filter Active Noise Control (D-SFANC) can effectively attenuate noise from different directions by selecting the suitable pre-trained control filter bas…
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,…