4 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,…
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…