Active Learning with Gaussian Process Regression and Physical Models for Robust SNR Estimation
Research output: Contribution to conference › Paper › peer-review
Electronic versions
Documents
- OFC_2025_SNR estimation
Accepted author manuscript, 402 KB, PDF document
We demonstrate improved performance using active learning for both GPR
and hybrid models to predict SNR using experimental data from a 15-channel WDM
system over 1000km. Physical model interpreted GPR agrees with interpreting
measured data
and hybrid models to predict SNR using experimental data from a 15-channel WDM
system over 1000km. Physical model interpreted GPR agrees with interpreting
measured data
| Original language | English |
|---|---|
| Publication status | Published - 2025 |
Total downloads
No data available