Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/106943
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dc.contributorDepartment of Electrical and Electronic Engineeringen_US
dc.creatorWu, Hen_US
dc.creatorWang, Len_US
dc.creatorZhao, Zen_US
dc.creatorGuo, Nen_US
dc.creatorShu, Cen_US
dc.creatorLu, Cen_US
dc.date.accessioned2024-06-07T00:59:03Z-
dc.date.available2024-06-07T00:59:03Z-
dc.identifier.isbn978-1-943580-45-3en_US
dc.identifier.urihttp://hdl.handle.net/10397/106943-
dc.descriptionConference on Lasers and Electro-Optics/Pacific Rim 2018, Hong Kong China, 29 July-3 August 2018en_US
dc.language.isoenen_US
dc.publisherOptica Publishing Groupen_US
dc.rights© 2018 The Author(s)en_US
dc.rightsThe following publication H. Wu, L. Wang, Z. Zhao, N. Guo, C. Shu, and C. Lu, "Processing Differential Brillouin Gain Spectrum by Support Vector Machine in DPP-BOTDA," in CLEO Pacific Rim Conference 2018, OSA Technical Digest (Optica Publishing Group, 2018), paper Th2L. is available at https://doi.org/10.1364/CLEOPR.2018.Th2L.4.en_US
dc.titleProcessing differential Brillouin gain spectrum by support vector machine in DPP-BOTDAen_US
dc.typeConference Paperen_US
dc.identifier.doi10.1364/cleopr.2018.th2l.4en_US
dcterms.abstractSVM has been applied to successfully extract temperature from differential BGSs in DPP-BOTDA of different spatial resolution. Compared with LCF, SVM has better performance under high spatial resolution and low SNR with shorter processing time.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationCLEO Pacific Rim Conference 2018, OSA Technical Digest (Optica Publishing Group, 2018), paper Th2L.4en_US
dcterms.issued2018-
dc.identifier.scopus2-s2.0-85059386250-
dc.relation.conferenceCLEO Pacific Rim [CLEOPR]en_US
dc.identifier.artnTh2L.4en_US
dc.description.validate202405 bcchen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberEIE-0491-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextCUHK GRF; NSFCen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS20071432-
dc.description.oaCategoryVoR alloweden_US
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