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Title: A novel selective active noise control algorithm to overcome practical implementation issue
Authors: Shi, Dong Yuan
Lam, Bhan
Gan, Woon Seng
Keywords: Digital Signal Processing
Engineering::Electrical and electronic engineering
Active Noise Control
Issue Date: 2018
Source: Shi, D. Y., Lam, B., & Gan, W. S. (2018). A novel selective active noise control algorithm to overcome practical implementation issue. 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). doi:10.1109/ICASSP.2018.8461458
Abstract: Selective active noise control (SANC) is a method to select a pre-trained control filter for different primary noises, instead of using conventional real-time computation of the control filter coefficients. SANC has the advantage of improving the robustness of control filter while reducing the computational complexity. This paper presents a practical strategy in choosing a suitable control filter based on the frequency-band-match mechanism implemented in a partitioned frequency domain filter structure. Both simulation and real-time experiment are carried out validate the noise reduction performance of the SANC compared to the conventional FxLMS algorithm.
DOI: 10.1109/ICASSP.2018.8461458
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Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Conference Papers

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