29 citations · 46 across the 14 of their papers we have counts for
14 papers
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…
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,…
Preventing output saturation in active noise control: An output-constrained Kalman filter approach
Junwei Ji, Dongyuan Shi, Boxiang Wang +3
The Kalman filter (KF)-based active noise control (ANC) system demonstrates superior tracking and faster convergence compared to the least mean square (LMS) method, particularly in…
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…
A Survey of Integrating Wireless Technology into Active Noise Control
Xiaoyi Shen, Dongyuan Shi, Zhengding Luo +2
Active Noise Control (ANC) is a widely adopted technology for reducing environmental noise across various scenarios. This paper focuses on enhancing noise reduction performance, pa…
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…
Active Noise Control based on the Momentum Multichannel Normalized Filtered-x Least Mean Square Algorithm
Dongyuan Shi, Woon-Seng Gan, Bhan Lam +2
Multichannel active noise control (MCANC) is widely utilized to achieve significant noise cancellation area in the complicated acoustic field. Meanwhile, the filter-x least mean sq…
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…
A Computation-efficient Online Secondary Path Modeling Technique for Modified FXLMS Algorithm
Junwei Ji, Dongyuan Shi, Woon-Seng Gan +2
This paper proposes an online secondary path modelling (SPM) technique to improve the performance of the modified filtered reference Least Mean Square (FXLMS) algorithm. It can eff…
A practical distributed active noise control algorithm overcoming communication restrictions
Junwei Ji, Dongyuan Shi, Zhengding Luo +2
By assigning the massive computing tasks of the traditional multichannel active noise control (MCANC) system to several distributed control nodes, distributed multichannel active n…
A Momentum Two-gradient Direction Algorithm with Variable Step Size Applied to Solve Practical Output Constraint Issue for Active Noise Control
Xiaoyi Shen, Dongyuan Shi, Zhengding Luo +2
Active noise control (ANC) has been widely utilized to reduce unwanted environmental noise. The primary objective of ANC is to generate an anti-noise with the same amplitude but th…
Deep Generative Fixed-filter Active Noise Control
Zhengding Luo, Dongyuan Shi, Xiaoyi Shen +2
Due to the slow convergence and poor tracking ability, conventional LMS-based adaptive algorithms are less capable of handling dynamic noises. Selective fixed-filter active noise c…