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Denoising and Robust Temperature Extraction for BOTDA Systems based on Denoising Autoencoder and DNN

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Abstract

Denoising autoencoder is used for denoising of the data obtained by the Brillouin optical time-domain analyzer (BOTDA) sensing system and is also used to form the deep neural networks (DNN) for robust temperature information extraction.

© 2018 The Author(s)

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