8 citations · 20 across the 23 of their papers we have counts for
27 papers · 1 filter
Direction-Preserving Active Noise Control with a Conditional Control-Filter Estimation Network
Ziyi Yang, Zhengding Luo, Boxiang Wang +2
Conventional active noise control (ANC) minimizes the total disturbance at the error microphone without distinguishing desired sound from noise. Direction-preserving ANC (DP-ANC) i…
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…
Adaptive Momentum Enhanced Distributed Multichannel Active Noise Control for Faster Convergence under Communication Delays
Junwei Ji, Woon-Seng Gan, Boxiang Wang +2
Distributed multichannel active noise control (DMCANC) reduces the computational burden of centralized ANC systems by distributing processing tasks across multiple nodes, while req…
Spatial-Frequency Cued Generative Fixed-Filter Active Noise Control Based on Deep Learning in Reverberant Environments
Boxiang Wang, Haowen Li, Dongyuan Shi +4
Generative fixed-filter active noise control (GFANC) effectively attenuates noise with diverse frequency characteristics through the combination of sub control filters. However, it…
Deep Learning-Based Predictive Fixed-Filter Active Noise Control 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…