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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Main Authors: Shi, Chuang, Li, Huiyong, Shi, Dongyuan, Lam, Bhan, Gan, Woon-Seng
Other Authors: School of Electrical and Electronic Engineering
Format: Conference or Workshop Item
Language:English
Published: 2018
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Online Access:https://hdl.handle.net/10356/88226
http://hdl.handle.net/10220/44686
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Institution: Nanyang Technological University
Language: English
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spelling 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
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Sensors
MIMO Communication
spellingShingle 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
description 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.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Shi, Chuang
Li, Huiyong
Shi, Dongyuan
Lam, Bhan
Gan, Woon-Seng
format Conference or Workshop Item
author Shi, Chuang
Li, Huiyong
Shi, Dongyuan
Lam, Bhan
Gan, Woon-Seng
author_sort 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
_version_ 1681041407988465664