GPU-based Real-Time Beamforming for Large Arrays of Optical Wireless Acoustic Sensors

Show simple item record Pablo Nava, G en Nguyen, HD en Hioka, Yusuke en Kamamoto, Y en Sato, TG en Shiraki, Y en Moriya, T en 2015-12-13T22:09:02Z en 2015 en
dc.identifier.citation Acoustical Science and Technology, 2015, 36 (6), pp. 489 - 499 en
dc.identifier.issn 1347-5177 en
dc.identifier.uri en
dc.description.abstract Recent optical wireless acoustic sensors have demonstrated the possibility to simultaneously sense massive numbers of audio channels in real time. Although this technology has enabled the deployment of large-scale applications, it raises new challenges from the computational perspective. In this regard, Graphics Processing Units provide significant parallel computational power. However, not all the existent algorithms are GPU-implementable in a straightforward way. This paper discusses signal processing schemes and implementation strategies to achieve real-time broadband beamforming using a single GPU card. The experiments introduced here, show our prototype implementation handling over 120 audio channels in real time. The experimental results further highlight the particular advantages of using a video camera-based approach to improve the beamforming performance. en
dc.publisher Acoustical Society of Japan en
dc.relation.ispartofseries Acoustical Science and Technology en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights.uri en
dc.title GPU-based Real-Time Beamforming for Large Arrays of Optical Wireless Acoustic Sensors en
dc.type Journal Article en
dc.identifier.doi 10.1250/ast.36.489 en
pubs.issue 6 en
pubs.begin-page 489 en
pubs.volume 36 en
dc.rights.holder Copyright: Acoustical Society of Japan en
pubs.end-page 499 en
dc.rights.accessrights en
pubs.subtype Article en
pubs.elements-id 506337 en Engineering en Mechanical Engineering en
dc.identifier.eissn 1347-5177 en
pubs.record-created-at-source-date 2015-11-26 en

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