Machine learning analysis of extreme events in optical fibre modulation instability

Machine learning analysis of extreme events in optical fibre modulation instability

Real-time characterisation of nonlinear processes in the time domain is challenging. Here, Närhi et al. show that machine learning techniques can help overcome this limitation and use them to infer time-domain properties of optical fibre modulation instability from spectral intensity measurements.

Bibliographic Details
Main Authors: Mikko Närhi, Lauri Salmela, Juha Toivonen, Cyril Billet, John M. Dudley, Goëry Genty
Format: Article
Language:English
Published: Nature Publishing Group 2018-11-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-018-07355-y

Internet

https://doi.org/10.1038/s41467-018-07355-y

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