Optical vector-eigenmode decomposition for few-mode fibers through deep learning networks-Reference-Cited by-同舟云学术

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Optical vector-eigenmode decomposition for few-mode fibers through deep learning networks

Published:2024-08 Issue: Volume:564 Page:130602
ISSN:0030-4018
Container-title:Optics Communications
language:en
Short-container-title:Optics Communications

Author:

Li Jian-Jun,Zhang Rui,Wen Feng,Yang Feng,Wu Bao-Jian,Qiu Kun

Publisher

Elsevier BV

Reference29 articles.

1. Perspective on mode-division multiplexing;Su;Appl. Phys. Lett.,2021

2. MIMO signal processing for mode-division multiplexing: an overview of channel models and signal processing architectures;Arik;IEEE Signal Process. Mag.,2014

3. Space-division multiplexing: the next frontier in optical communication;Li;Adv. Opt Photon,2014

4. High-capacity mode division multiplexing transmission technology;Soma,2022

5. Towards 1000-mode optical fibres;Ferreira;arXiv:2206.09855,2022

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep learning-based optical vector-eigenmode processing;2024 24th International Conference on Transparent Optical Networks (ICTON);2024-07-14

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