activity
20222026
most citedA Hybrid SFANC-FxNLMS Algorithm for Active Noise Control based on Deep Learning

77 citations · 194 across the 39 of their papers we have counts for

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8 papers · 1 filter

eess.SP2026

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,…

eess.SP2025

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…

eess.SP2024

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…

eess.SP2024

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…

eess.SP2024★ 7 cited

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…

eess.SP2023

Practical Active Noise Control: Restriction of Maximum Output Power

Woon-Seng Gan, Dongyuan Shi, Xiaoyi Shen

This paper presents some recent algorithms developed by the authors for real-time adaptive active noise (AANC) control systems. These algorithms address some of the common challeng…

eess.SP2023★ 14 cited

MOV-Modified-FxLMS algorithm with Variable Penalty Factor in a Practical Power Output Constrained Active Control System

Chung Kwan Lai, Dongyuan Shi, Bhan Lam +1

Practical Active Noise Control (ANC) systems typically require a restriction in their maximum output power, to prevent overdriving the loudspeaker and causing system instability. R…

eess.SP2023★ 9 cited

Real-time modelling of observation filter in the Remote Microphone Technique for an Active Noise Control application

Chung Kwan Lai, Bhan Lam, Dongyuan Shi +1

The remote microphone technique (RMT) is often used in active noise control (ANC) applications to overcome design constraints in microphone placements by estimating the acoustic pr…