Time-Efficient Convolutional Neural Network-Assisted Brillouin Optical Frequency Domain Analysis

To our knowledge, this is the first report on a machine-learning-assisted Brillouin optical frequency domain analysis (BOFDA) for time-efficient temperature measurements. We propose a convolutional neural network (CNN)-based signal post-processing method that, compared to the conventional Lorentzian...

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Detalles Bibliográficos
Autores principales: Karapanagiotis, Christos, Wosniok, Aleksander, Hicke, Konstantin, Krebber, Katerina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8068849/
https://www.ncbi.nlm.nih.gov/pubmed/33924337
http://dx.doi.org/10.3390/s21082724

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8068849/
https://www.ncbi.nlm.nih.gov/pubmed/33924337
http://dx.doi.org/10.3390/s21082724

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