5 citations · 5 across the 17 of their papers we have counts for
17 papers
Direction-Preserving Active Noise Control with a Conditional Control-Filter Estimation Network
Ziyi Yang, Zhengding Luo, Boxiang Wang +2
Conventional active noise control (ANC) minimizes the total disturbance at the error microphone without distinguishing desired sound from noise. Direction-preserving ANC (DP-ANC) i…
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…
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…
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…
Transformer-based End-to-End Control Filter Generation for Active Noise Control
Ziyi Yang, Zhengding Luo, Yisong Zou +3
To address the limitations of existing Generative Fixed-Filter Active Noise Control (GFANC) methods, which rely on filter decomposition and recombination and require supervised lea…
Predictive Directional Selective Fixed-Filter Active Noise Control for Moving Sources via a Convolutional Recurrent Neural Network
Boxiang Wang, Zhengding Luo, Dongyuan Shi +3
Directional Selective Fixed-Filter Active Noise Control (D-SFANC) can effectively attenuate noise from different directions by selecting the suitable pre-trained control filter bas…
A Stabilized Hybrid Active Noise Control Algorithm of GFANC and FxNLMS with Online Clustering
Zhengding Luo, Haozhe Ma, Boxiang Wang +3
The Filtered-x Normalized Least Mean Square (FxNLMS) algorithm suffers from slow convergence and a risk of divergence, although it can achieve low steady-state errors after suffici…
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…
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…
DOA Estimation with Lightweight Network on LLM-Aided Simulated Acoustic Scenes
Haowen Li, Zhengding Luo, Dongyuan Shi +4
Direction-of-Arrival (DOA) estimation is critical in spatial audio and acoustic signal processing, with wide-ranging applications in real-world. Most existing DOA models are traine…
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…
Self-Boosted Weight-Constrained FxLMS: A Robustness Distributed Active Noise Control Algorithm Without Internode Communication
Junwei Ji, Dongyuan Shi, Zhengding Luo +2
Compared to the conventional centralized multichannel active noise control (MCANC) algorithm, which requires substantial computational resources, decentralized approaches exhibit h…
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…
Implementation of the Feedforward Multichannel Virtual Sensing Active Noise Control (MVANC) by Using MATLAB
Boxiang Wang
The multichannel virtual sensing active noise control (MVANC) methodology is an advanced approach that may provide a wide area of silence at specific virtual positions that are dis…
Implementation of the Multichannel Filtered Reference Least Mean Square (McFxLMS) Algorithm with an Arbitrary Number of Channels by Using MATLAB
Boxiang Wang
Multichannel filtered reference least mean square (McFxLMS) algorithms are widely utilized in adaptive multichannel active noise control (MCANC) applications. As a critical and hig…