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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...
Autores principales: | Karapanagiotis, Christos, Wosniok, Aleksander, Hicke, Konstantin, Krebber, Katerina |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
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 |
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