Support vector machine for temperature extraction from brillouin phase spectrum

Huan Wu, Liang Wang, Nan Guo, Chester Shu, Chao Lu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

We 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.
Original languageEnglish
Title of host publicationAsia Communications and Photonics Conference, ACP 2017
PublisherOSA - The Optical Society
Volume2017-August
ISBN (Electronic)9781943580347
DOIs
Publication statusPublished - 9 Aug 2017
Event2017 Asia Communications and Photonics Conference, ACP 2017 - The Garden Hotel, Guangzhou, Guangdong, China
Duration: 10 Nov 201713 Nov 2017

Conference

Conference2017 Asia Communications and Photonics Conference, ACP 2017
Country/TerritoryChina
CityGuangzhou, Guangdong
Period10/11/1713/11/17

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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