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Artificial neural networks for nonlinear pulse shaping in optical fibers

Abstract : We use a supervised machine-learning model based on a neural network to predict the temporal and spectral intensity profiles of the pulses that form upon nonlinear propagation in optical fibers with both normal and anomalous second-order dispersion. We also show that the model is able to retrieve the parameters of the nonlinear propagation from the pulses observed at the output of the fiber. Various initial pulse shapes as well as initially chirped pulses are investigated.
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https://hal.archives-ouvertes.fr/hal-02484123
Contributor : Christophe Finot Connect in order to contact the contributor
Submitted on : Wednesday, February 19, 2020 - 9:36:47 AM
Last modification on : Wednesday, May 5, 2021 - 5:36:11 PM
Long-term archiving on: : Wednesday, May 20, 2020 - 1:00:48 PM

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Sonia Boscolo, Christophe Finot. Artificial neural networks for nonlinear pulse shaping in optical fibers. Optics and Laser Technology, Elsevier, 2020, 131, pp.106439. ⟨10.1016/j.optlastec.2020.106439⟩. ⟨hal-02484123⟩

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