1 code implementation • 8 Feb 2024 • Zhengding Luo, Dongyuan Shi, Xiaoyi Shen, Woon-Seng Gan
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-time controller.
no code implementations • 20 Jun 2023 • Junwei Ji, Dongyuan Shi, Woon-Seng Gan, Xiaoyi Shen, Zhengding Luo
This paper proposes an online secondary path modelling (SPM) technique to improve the performance of the modified filtered reference Least Mean Square (FXLMS) algorithm.
no code implementations • 15 Mar 2023 • Junwei Ji, Dongyuan Shi, Zhengding Luo, Xiaoyi Shen, Woon-Seng Gan
By assigning the massive computing tasks of the traditional multichannel active noise control (MCANC) system to several distributed control nodes, distributed multichannel active noise control (DMCANC) techniques have become effective global noise reduction solutions with low computational costs.
no code implementations • 15 Mar 2023 • Xiaoyi Shen, Dongyuan Shi, Zhengding Luo, Junwei Ji, Woon-Seng Gan
Active noise control (ANC) has been widely utilized to reduce unwanted environmental noise.
2 code implementations • 10 Mar 2023 • Zhengding Luo, Dongyuan Shi, Xiaoyi Shen, Junwei Ji, Woon-Seng Gan
Due to the slow convergence and poor tracking ability, conventional LMS-based adaptive algorithms are less capable of handling dynamic noises.
3 code implementations • 17 Aug 2022 • Zhengding Luo, Dongyuan Shi, Woon-Seng Gan
Owing to the effective combination of the two algorithms, experimental results show that the hybrid SFANC-FxNLMS algorithm can achieve a rapid response time, a low noise reduction error, and a high degree of robustness.
no code implementations • 17 Aug 2022 • Zhengding Luo, Dongyuan Shi, Junwei Ji, Woon-Seng Gan
However, open-source implementations of the multi-channel FxLMS (McFxLMS) and multi-channel FxNLMS (McFxNLMS) algorithm continue to be scarce.
2 code implementations • 17 Aug 2022 • Zhengding Luo, Dongyuan Shi, Woon-Seng Gan
In comparison to conventional fixed-filter ANC methods, SFANC can select the pre-trained control filters for different types of noise.
