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20232026
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eess.AS2026

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…

eess.AS2026

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…

eess.AS2026

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…

eess.AS2026

Distributed Multichannel Active Noise Control with Asynchronous Communication

Junwei Ji, Dongyuan Shi, Boxiang Wang +3

Distributed multichannel active noise control (DMCANC) offers effective noise reduction across large spatial areas by distributing the computational load of centralized control to…

cs.SD2026

Directional Selective Fixed-Filter Active Noise Control Based on a Convolutional Neural Network in Reverberant Environments

Boxiang Wang, Zhengding Luo, Haowen Li +4

Selective fixed-filter active noise control (SFANC) is a novel approach capable of mitigating noise with varying frequency characteristics. It offers faster response and greater co…