Name
Abstract | ||
|---|---|---|
We demonstrate simultaneous TDECQ estimation and impairment identification using convolutional neural networks. Robust training with representative impairments yielded identification accuracy of 100% for TDECQ >2.6 dB, when considering limited bandwidth, signal compression and SNR degradation. (C) 2021 Stephen E. Ralph |
Year | Venue | DocType |
|---|---|---|
2021 | 2021 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXPOSITION (OFC) | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daniel Lippiatt | 1 | 0 | 1.01 |
| Alirio Melgar | 2 | 0 | 2.37 |
| Varghese A. Thomas | 3 | 0 | 1.35 |
| Siddharth Varughese | 4 | 0 | 1.01 |
| Pavel Zivny | 5 | 0 | 0.34 |
| Shane A. Hazzard | 6 | 0 | 0.34 |
| Stephen E. Ralph | 7 | 0 | 2.03 |