@inproceedings{fed895e4f62f4d079ea688319a3ecdea,
title = "Multiparameter Monitoring of PAM4 Signals Using Deep Learning",
abstract = "PAM4 signal performance monitoring is demonstrated using CNN-based deep learning. A 98.51\% prediction accuracy is achieved for jointly monitoring multiple parameters including baud rate, probabilistic shaping, roll-off factor, optical signal-to-noise ratio, and chromatic dispersion.",
author = "Li, \{Si Ao\} and Yuanpeng Liu and Yiwen Zhang and Wenqian Zhao and Tongying Shi and Xiao Han and Djordjevic, \{Ivan B.\} and Yongxiong Ren and Changjing Bao and Zhongqi Pan and Yang Yue",
note = "Publisher Copyright: {\textcopyright} Optica Publishing Group 2022, {\textcopyright} 2022 The Author(s); 2022 Conference on Lasers and Electro-Optics, CLEO 2022 ; Conference date: 15-05-2022 Through 20-05-2022",
year = "2022",
language = "English (US)",
series = "2022 Conference on Lasers and Electro-Optics, CLEO 2022 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2022 Conference on Lasers and Electro-Optics, CLEO 2022 - Proceedings",
}