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20232026
most citedDeep Generative Fixed-filter Active Noise Control

29 citations · 46 across the 14 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

eess.AS2023★ 9 cited

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…

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.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…

eess.SY2023★ 29 cited

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…