Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/79366
Title: Ultrafast temperature extraction using support vector machine based data classifier for BOTDA sensors
Authors: Wang, L
Wu, H
Guo, N 
Shu, C
Lu, C 
Issue Date: 2018
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: European Conference on Optical Communication, ECOC, 2018, v. 2017-September, p. 1-3 How to cite?
Abstract: SVM has been successfully employed in BOTDA system to extract temperature information along fiber. It shows good robustness to a wide range of experiment parameters and its processing speed is 100 times faster than that of conventional Lorentzian fitting technique.
Description: 43rd European Conference on Optical Communication, ECOC 2017, Gothenburg, Sweden, 17-21 September 2017
URI: http://hdl.handle.net/10397/79366
ISBN: 9781538656242
DOI: 10.1109/ECOC.2017.8345901
Appears in Collections:Conference Paper

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