Analysis of real-time spectral interference using a deep neural network to reconstruct multi-soliton dynamics in mode-locked lasers
- Resource Type
- Conference
- Authors
- Li, Caiyun; He, Jiangyong; He, Ruijing; Liu, Yange; Yue, Yang; Zhang, Luhe; Zhu, Longfei; Zhou, Mengjie; Zhu, Kaiyan; Wang, Zhi
- Source
- 2020 Asia Communications and Photonics Conference (ACP) and International Conference on Information Photonics and Optical Communications (IPOC) Information Photonics and Optical Communications (IPOC), 2020 Asia Communications and Photonics Conference (ACP) and International Conference on. :1-3 Oct, 2020
- Subject
- Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Fields, Waves and Electromagnetics
Photonics and Electrooptics
Signal Processing and Analysis
Laser mode locking
Solitons
Optical distortion
Interference
Real-time systems
Phase distortion
Photonics
- Language
A residual convolutional neural network (RCNN) is introduced to retrieve the separation and relative phase of solitons in soliton molecules in passively mode-locked lasers (PMLs). It proved to be an effective method to explore complex soliton molecule dynamics. © 2020 The Author(s)