Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/80537
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.
URI: https://hdl.handle.net/10356/80537
http://hdl.handle.net/10220/50374
DOI: 10.1109/ICASSP.2018.8461458
10.1109/ICASSP.2018.8461458
Rights: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/ICASSP.2018.8461458
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Conference Papers

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