A novel selective active noise control algorithm to overcome practical implementation issue

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 compu...

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Main Authors:	Shi, Dong Yuan, Lam, Bhan, Gan, Woon Seng
Other Authors:	School of Electrical and Electronic Engineering
Format:	Conference or Workshop Item
Language:	English
Published:	2019
Subjects:	Digital Signal Processing Engineering::Electrical and electronic engineering Active Noise Control
Online Access:	https://hdl.handle.net/10356/80537 http://hdl.handle.net/10220/50374
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Institution:	Nanyang Technological University
Language:	English

id	sg-ntu-dr.10356-80537
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spelling	sg-ntu-dr.10356-805372020-03-07T13:24:44Z A novel selective active noise control algorithm to overcome practical implementation issue Shi, Dong Yuan Lam, Bhan Gan, Woon Seng School of Electrical and Electronic Engineering 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Digital Signal Processing Engineering::Electrical and electronic engineering Active Noise Control 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. NRF (Natl Research Foundation, S’pore) Accepted version 2019-11-07T07:19:43Z 2019-12-06T13:51:43Z 2019-11-07T07:19:43Z 2019-12-06T13:51:43Z 2018 Conference Paper 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 https://hdl.handle.net/10356/80537 http://hdl.handle.net/10220/50374 10.1109/ICASSP.2018.8461458 10.1109/ICASSP.2018.8461458 en © 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 5 p. application/pdf
institution	Nanyang Technological University
building	NTU Library
country	Singapore
collection	DR-NTU
language	English
topic	Digital Signal Processing Engineering::Electrical and electronic engineering Active Noise Control
spellingShingle	Digital Signal Processing Engineering::Electrical and electronic engineering Active Noise Control Shi, Dong Yuan Lam, Bhan Gan, Woon Seng A novel selective active noise control algorithm to overcome practical implementation issue
description	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.
author2	School of Electrical and Electronic Engineering
author_facet	School of Electrical and Electronic Engineering Shi, Dong Yuan Lam, Bhan Gan, Woon Seng
format	Conference or Workshop Item
author	Shi, Dong Yuan Lam, Bhan Gan, Woon Seng
author_sort	Shi, Dong Yuan
title	A novel selective active noise control algorithm to overcome practical implementation issue
title_short	A novel selective active noise control algorithm to overcome practical implementation issue
title_full	A novel selective active noise control algorithm to overcome practical implementation issue
title_fullStr	A novel selective active noise control algorithm to overcome practical implementation issue
title_full_unstemmed	A novel selective active noise control algorithm to overcome practical implementation issue
title_sort	novel selective active noise control algorithm to overcome practical implementation issue
publishDate	2019
url	https://hdl.handle.net/10356/80537 http://hdl.handle.net/10220/50374
_version_	1681036681045606400

A novel selective active noise control algorithm to overcome practical implementation issue

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