77 citations · 128 across the 20 of their papers we have counts for
20 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…
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…
Co-Initialization of Control Filter and Secondary Path via Meta-Learning for Active Noise Control
Ziyi Yang, Li Rao, Zhengding Luo +3
Active noise control (ANC) must adapt quickly when the acoustic environment changes, yet early performance is largely dictated by initialization. We address this with a Model-Agnos…
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…
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…
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…
Implementation of Multi-channel Active Noise Control based on Back-propagation Mechanism
Zhengding Luo, Dongyuan Shi, Junwei Ji +1
Active noise control (ANC) systems can efficiently attenuate low-frequency noises by introducing anti-noises to combine with the unwanted noises. In ANC systems, the filtered-x lea…
A Hybrid SFANC-FxNLMS Algorithm for Active Noise Control based on Deep Learning
Zhengding Luo, Dongyuan Shi, Woon-Seng Gan
The selective fixed-filter active noise control (SFANC) method selecting the best pre-trained control filters for various types of noise can achieve a fast response time. However,…