Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/106976
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dc.contributorDepartment of Electrical and Electronic Engineeringen_US
dc.creatorWu, Hen_US
dc.creatorWang, Len_US
dc.creatorGuo, Nen_US
dc.creatorShu, Cen_US
dc.creatorLu, Cen_US
dc.date.accessioned2024-06-07T00:59:19Z-
dc.date.available2024-06-07T00:59:19Z-
dc.identifier.isbn978-1-943580-34-7en_US
dc.identifier.urihttp://hdl.handle.net/10397/106976-
dc.descriptionAsia Communications and Photonics Conference 2017, Guangzhou, Guangdong China, 10-13 November 2017en_US
dc.language.isoenen_US
dc.publisherOptica Publishing Groupen_US
dc.rights© OSA 2017en_US
dc.rightsThe following publication H. Wu, L. Wang, N. Guo, C. Shu, and C. Lu, "Support Vector Machine for Temperature Extraction from Brillouin Phase Spectrum," in Asia Communications and Photonics Conference, OSA Technical Digest (online) (Optica Publishing Group, 2017), paper S4A.4 is available at https://doi.org/10.1364/ACPC.2017.S4A.4.en_US
dc.titleSupport vector machine for temperature extraction from brillouin phase spectrumen_US
dc.typeConference Paperen_US
dc.identifier.doi10.1364/ACPC.2017.S4A.4en_US
dcterms.abstractWe propose and demonstrate for the first time the use of Support Vector Machine (SVM) to extract temperature information from distributed Brillouin phase spectrum. The performance of SVM is evaluated under different experiment conditions.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationAsia Communications and Photonics Conference, OSA Technical Digest (online) (Optica Publishing Group, 2017), paper S4A.4en_US
dcterms.issued2017-
dc.identifier.scopus2-s2.0-85044723168-
dc.relation.conferenceAsia Communications and Photonics Conference [ACPC]en_US
dc.identifier.artnS4A.4en_US
dc.description.validate202405 bcchen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberEIE-0676-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextPolyU; CUHK GRF; NSFCen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS9613222-
dc.description.oaCategoryVoR alloweden_US
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