Feedforward and Recurrent Neural Network-Based Transfer Learning for Nonlinear Equalization in Short-Reach Optical Links-Reference-Cited by-同舟云学术

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Feedforward and Recurrent Neural Network-Based Transfer Learning for Nonlinear Equalization in Short-Reach Optical Links

Published:2021-01-15 Issue:2 Volume:39 Page:475-480
ISSN:0733-8724
Container-title:Journal of Lightwave Technology
language:
Short-container-title:J. Lightwave Technol.

Author:

Xu Zhaopeng^ORCID,Sun Chuanbowen^ORCID,Ji Tonghui,Manton Jonathan H.^ORCID,Shieh William^ORCID

Funder

Australian Research Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atomic and Molecular Physics, and Optics

Link

http://xplorestaging.ieee.org/ielx7/50/9310727/09226070.pdf?arnumber=9226070

Cited by 43 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. Demonstration of IM/DD 3-Tbit/s PS-PAM8 transmission with wavelength and mode multiplexing based on neural network equalizer;Optics & Laser Technology;2024-09

2. Low complexity deep neural network equalizer based on the multi-source domain transfer learning in IMDD system;Optics Express;2024-08-29

3. Advanced Neural Network-Based Equalization in Intensity-Modulated Direct-Detection Optical Systems: Current Status and Future Trends;Photonics;2024-07-28

4. A Few-Shot Learning Equalizer Applied to Optical Communication System;2024 22nd International Conference on Optical Communications and Networks (ICOCN);2024-07-26

5. Key Enablers for Hardware-Efficient Neural Network Receiver in Short-Reach Optical Links;2024 22nd International Conference on Optical Communications and Networks (ICOCN);2024-07-26

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