Archivio Istituzionale della RicercaWe propose a Convolutional Neural Network (CNN) to learn the mapping between the 2D power profiles, (distance and frequency), and the Raman pumps. Using the CNN, the pump powers and wavelengths for arbitrary 2D profiles can be determined with high accuracy.
Distance and spectral power profile shaping using machine learning enabled Raman amplifiers / Soltani, M.; Da Ros, F.; Carena, A.; Zibar, D.. - ELETTRONICO. - (2021), pp. 1-2. (Intervento presentato al convegno 2021 IEEE Photonics Society Summer Topicals Meeting Series (SUM) tenutosi a Cabo San Lucas, Mexico nel 19-21 July 2021) [10.1109/SUM48717.2021.9505741].
Distance and spectral power profile shaping using machine learning enabled Raman amplifiers
Carena A.;
2021
Abstract
We propose a Convolutional Neural Network (CNN) to learn the mapping between the 2D power profiles, (distance and frequency), and the Raman pumps. Using the CNN, the pump powers and wavelengths for arbitrary 2D profiles can be determined with high accuracy.
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https://hdl.handle.net/11583/2972736