Abstract
We experimentally demonstrate the performance improvements obtained through End-to-End Deep Learning in noise and chromatic dispersion compensation of optical fiber transmission links when incorporating a physics-inspired activation function compared to state-of-the-art ReLU configurations.
© 2023 The Author(s)
PDF ArticleMore Like This
Zhongya Li, Changle Huang, Junlian Jia, Guoqiang Li, Wangwei Shen, Jianyang Shi, Ziwei Li, Chao Shen, Junwen Zhang, and Nan Chi
W2B.26 Optical Fiber Communication Conference (OFC) 2023
Wei Peng, Chen Zhu, Ruimin Jie, Bo Liu, Lingmei Ma, and Yunjiang Rao
Th6.25 Optical Fiber Sensors (OFS) 2023
Qian Zhang, Yuan Sui, Stefan Rothe, and Jürgen W. Czarske
FTu1D.3 Frontiers in Optics (FiO) 2023