Conference paper
Towards the Use of Machine Learning in Setups for OAM Mode Excitation in Optical Fibers
Department of Photonics Engineering, Technical University of Denmark1
Fiber Optics, Devices and Non-linear Effects, Department of Photonics Engineering, Technical University of Denmark2
Networks Technology and Service Platforms, Department of Photonics Engineering, Technical University of Denmark3
Programmable Phase Optics, Department of Photonics Engineering, Technical University of Denmark4
Centre of Excellence for Silicon Photonics for Optical Communications, Centers, Technical University of Denmark5
Machine Learning algorithms driving spatial light modulators may help achieve higher purity in excited orbital angular momentum modes in fibers. Some preparatory steps are investigated to potentially enable effective Machine Learning in such a configuration.
| Language: | English |
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| Publisher: | Optical Society of America (OSA) |
| Year: | 2018 |
| Proceedings: | Frontiers in Optics 2018 |
| ISBN: | 1943580464 and 9781943580460 |
| Types: | Conference paper |
| ORCIDs: | Astorino, Antonio and Rottwitt, Karsten |
