8 citations · 33 across the 36 of their papers we have counts for
6 papers · 1 filter
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,…
A Robust Proactive Communication Strategy for Distributed Active Noise Control Systems
Junwei Ji, Dongyuan Shi, Zhengding Luo +4
Distributed multichannel active noise control (DMCANC) systems assign the high computational load of conventional centralized algorithms across multiple processing nodes, leveragin…
Real-Time Sound Event Localization and Detection: Deployment Challenges on Edge Devices
Jun Wei Yeow, Ee-Leng Tan, Jisheng Bai +2
Sound event localization and detection (SELD) is critical for various real-world applications, including smart monitoring and Internet of Things (IoT) systems. Although deep neural…
Transferable Selective Virtual Sensing Active Noise Control Technique Based on Metric Learning
Boxiang Wang, Dongyuan Shi, Zhengding Luo +3
Virtual sensing (VS) technology enables active noise control (ANC) systems to attenuate noise at virtual locations distant from the physical error microphones. Appropriate auxiliar…
Computation-efficient Virtual Sensing Approach with Multichannel Adjoint Least Mean Square Algorithm
Boxiang Wang, Junwei Ji, Xiaoyi Shen +2
Multichannel active noise control (ANC) systems are designed to create a large zone of quietness (ZoQ) around the error microphones, however, the placement of these microphones oft…
Unsupervised learning based end-to-end delayless generative fixed-filter active noise control
Zhengding Luo, Dongyuan Shi, Xiaoyi Shen +1
Delayless noise control is achieved by our earlier generative fixed-filter active noise control (GFANC) framework through efficient coordination between the co-processor and real-t…