A Fiber-Optic Channel Modeled Through BiLSTM Technique

被引：2
|
作者：
Song, Yuchen [1 ]
Wang, Danshi [1 ]
Zhang, Min [1 ]
Cui, Qichuan [1 ]
机构：
[1] Beijing Univ Posts & Telecommun, State Key Lab Informat Photon & Opt Commun, Beijing 100876, Peoples R China
来源：
2019 18TH INTERNATIONAL CONFERENCE ON OPTICAL COMMUNICATIONS AND NETWORKS (ICOCN) | 2019年
基金：
中国国家自然科学基金;
关键词：
deep learning; neural networks; fiber-optic communication; bidirectional LSTM;
D O I：
10.1109/icocn.2019.8933906
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
In this paper, we model the fiber-optic channel with bidirtectional LSTM struture, which shows the similar performance with the conventional method, while greatly reduced the need for expert konwledge and complexity.
引用
收藏
页数：3
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