Sweep frequency method with variance weight probability for temperature extraction of the Brillouin gain spectrum based on an artificial neural network-Reference-Cited by-同舟云学术

Sweep frequency method with variance weight probability for temperature extraction of the Brillouin gain spectrum based on an artificial neural network

Published:2021-08-24 Issue:18 Volume:29 Page:28994
ISSN:1094-4087
Container-title:Optics Express
language:en
Short-container-title:Opt. Express

Author:

Wang Ming Hai,Sui Yang,Zhou Wei Nan,Dong Wei,Zhang Xin Dong

Funder

Science and Technology Project of Education Department of Jilin Province

Jilin Scientific and Technological Development Program

National Natural Science Foundation of China

Publisher

The Optical Society

Subject

Atomic and Molecular Physics, and Optics

Reference20 articles.

1. Big data on the horizon from a new generation of distributed optical fiber sensors

2. ANNz: Estimating Photometric Redshifts Using Artificial Neural Networks

3. Recent Progress in Brillouin Scattering Based Fiber Sensors

4. High-Spatial-Resolution Fast BOTDA for Dynamic Strain Measurement Based on Differential Double-Pulse and Second-Order Sideband of Modulation

5. Going beyond 1000000 resolved points in a Brillouin distributed fiber sensor: theoretical analysis and experimental demonstration

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3. Fast and Accurate Brillouin Optical Time-Domain Sensing by Sparse Frequency Sampling and ANN-Based Recover Method;IEEE Sensors Journal;2023-04-01

4. Brillouin Frequency Estimation in Distributed Brillouin Optical Fiber Sensors Based on Instantaneous Frequency;IEEE Sensors Journal;2022-10-01

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