activity
20222026
most citedDeep Generative Fixed-filter Active Noise Control

29 citations · 52 across the 20 of their papers we have counts for

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11 papers · 1 filter

eess.AS2026

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…

eess.AS2026

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…

eess.AS2026

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…

eess.AS2026

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…

eess.AS2026

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…

eess.AS2026

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…

eess.AS2025★ 5 cited

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…

eess.AS2024

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…

eess.AS2023★ 1 cited

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…

eess.AS2023

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…

eess.AS2023

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…