Conference paper
Experimental demonstration of arbitrary Raman gain-profile designs using machine learning
In
Optical Fiber Communication Conference 2020
—
2020, pp. 1-3
From
Machine Learning in Photonic Systems, Department of Photonics Engineering, Technical University of Denmark1
Department of Photonics Engineering, Technical University of Denmark2
Ultra-fast Optical Communication, Department of Photonics Engineering, Technical University of Denmark3
Polytechnic University of Turin4
Abstract
A machine learning framework for Raman amplifier design is experimentally tested. Performance in terms of maximum error over the gain profile is investigated for various fiber types and lengths, demonstrating highly-accurate designs.
| Language: | English |
|---|---|
| Publisher: | IEEE |
| Year: | 2020 |
| Pages: | 1-3 |
| Proceedings: | Optical Fiber Communication Conference 2020 |
| ISBN: | 1728167620 , 1943580715 , 9781728167626 and 9781943580712 |
| Types: | Conference paper |
| DOI: | 10.1364/OFC.2020.T4B.2 |
| ORCIDs: | de Moura, Uiara C. , Da Ros, Francesco and Zibar, Darko |
