Name
Abstract | ||
|---|---|---|
We propose a model-based machine-learning approach for polarization-multiplexed systems by parameterizing the split-step method for the Manakov-PMD equation. This approach performs hardware-friendly DBP and distributed PMD compensation with performance close to the PMD-free case. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1364/OFC.2020.W3D.3 | OFC |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
2 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Christian Häger | 1 | 1 | 3.06 |
| Henry D. Pfister | 2 | 227 | 25.28 |
| Bütler Rick M. | 3 | 0 | 0.34 |
| Gabriele Liga | 4 | 6 | 5.98 |
| Alex Alvarado | 5 | 110 | 27.09 |