Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | Frontiers in Optics 2018 |
| Publisher | Optical Society of America (OSA) |
| Publication date | 2018 |
| ISBN (Print) | 978-1-943580-46-0 |
| Publication status | Published - 2018 |
| Event | Frontiers in Optics 2018 - Washignton, United States Duration: 16 Sept 2018 → 20 Sept 2018 |
Conference
| Conference | Frontiers in Optics 2018 |
|---|---|
| Country/Territory | United States |
| City | Washignton |
| Period | 16/09/2018 → 20/09/2018 |
Bibliographical note
From the session: Poster Session I (JTu2A)Fingerprint
Dive into the research topics of 'Towards the Use of Machine Learning in Setups for OAM Mode Excitation in Optical Fibers'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver