Understanding multiple-input multiple-output active noise control from a perspective of sampling and reconstruction
This paper formulates the multiple-input multiple- output active noise control as a spatial sampling and reconstruction problem. With the proposed formulation, the inputs from the reference microphones and the outputs of the antinoise sources are regarded as spatial samples. We show that the propose...
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sg-ntu-dr.10356-882262020-03-07T13:24:45Z Understanding multiple-input multiple-output active noise control from a perspective of sampling and reconstruction Shi, Chuang Li, Huiyong Shi, Dongyuan Lam, Bhan Gan, Woon-Seng School of Electrical and Electronic Engineering 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) Sensors MIMO Communication This paper formulates the multiple-input multiple- output active noise control as a spatial sampling and reconstruction problem. With the proposed formulation, the inputs from the reference microphones and the outputs of the antinoise sources are regarded as spatial samples. We show that the proposed formulation is general and can unify the existing control strategies. Three control strategies, for instance, are derived from the proposed formulation and linked to different cost functions in the practical implementation. Finally, simulation results are presented to verify the effectiveness of our analysis. NRF (Natl Research Foundation, S’pore) Accepted version 2018-04-13T07:49:19Z 2019-12-06T16:58:37Z 2018-04-13T07:49:19Z 2019-12-06T16:58:37Z 2017-12-01 2017 Conference Paper Shi, C., Li, H., Shi, D., Lam, B., & Gan, W.-S. (2017, December). Understanding multiple-input multiple-output active noise control from a perspective of sampling and reconstruction. Paper presented at 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Kuala Lumpur, Malaysia. https://hdl.handle.net/10356/88226 http://hdl.handle.net/10220/44686 10.1109/APSIPA.2017.8282013 203653 en © 2017 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: [http://dx.doi.org/10.1109/APSIPA.2017.8282013]. 6 p. application/pdf |
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Sensors MIMO Communication Shi, Chuang Li, Huiyong Shi, Dongyuan Lam, Bhan Gan, Woon-Seng Understanding multiple-input multiple-output active noise control from a perspective of sampling and reconstruction |
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This paper formulates the multiple-input multiple- output active noise control as a spatial sampling and reconstruction problem. With the proposed formulation, the inputs from the reference microphones and the outputs of the antinoise sources are regarded as spatial samples. We show that the proposed formulation is general and can unify the existing control strategies. Three control strategies, for instance, are derived from the proposed formulation and linked to different cost functions in the practical implementation. Finally, simulation results are presented to verify the effectiveness of our analysis. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Shi, Chuang Li, Huiyong Shi, Dongyuan Lam, Bhan Gan, Woon-Seng |
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Conference or Workshop Item |
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Shi, Chuang Li, Huiyong Shi, Dongyuan Lam, Bhan Gan, Woon-Seng |
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Shi, Chuang |
title |
Understanding multiple-input multiple-output active noise control from a perspective of sampling and reconstruction |
title_short |
Understanding multiple-input multiple-output active noise control from a perspective of sampling and reconstruction |
title_full |
Understanding multiple-input multiple-output active noise control from a perspective of sampling and reconstruction |
title_fullStr |
Understanding multiple-input multiple-output active noise control from a perspective of sampling and reconstruction |
title_full_unstemmed |
Understanding multiple-input multiple-output active noise control from a perspective of sampling and reconstruction |
title_sort |
understanding multiple-input multiple-output active noise control from a perspective of sampling and reconstruction |
publishDate |
2018 |
url |
https://hdl.handle.net/10356/88226 http://hdl.handle.net/10220/44686 |
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1681041407988465664 |