Nonlinear Compensation Based on Bidirectional Temporal Convolutional Network in Underwater Visible Light Communication System-Reference-Cited by-同舟云学术

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Nonlinear Compensation Based on Bidirectional Temporal Convolutional Network in Underwater Visible Light Communication System

Published:2024-07-26 Issue: Volume: Page:1-3
ISSN:
Container-title:2024 22nd International Conference on Optical Communications and Networks (ICOCN)
language:
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Author:

Wang Yunkai¹,Zhou Yuning¹,Zengyi X.¹,Yao Li¹,Cai Jifan¹,Zhilan L.¹,Luo Zhiteng¹,Zhang Haoyu¹,Fujie L.¹,Lin Xianhao¹,Chi Nan¹

Affiliation:

1. Fudan University,Key Laboratory for the Information Science of Electromagnetic Waves (MoE),Department of Communication Science and Engineering,Shanghai,China,200433

Funder

National Key Research and Development Program of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10647222/10647223/10648409.pdf?arnumber=10648409

Reference11 articles.

1. Visible Light Communication in 6G: Advances, Challenges, and Prospects

2. Visible light communications: demand factors, benefits and opportunities [Guest Editorial]

3. Key Technologies for High-Speed Si-Substrate LED Based Visible Light Communication

4. Gaussian kernel-aided deep neural network equalizer utilized in underwater PAM8 visible light communication system

5. Nonlinear Resilient Learning Method Based on Joint Time-Frequency Image Analysis in Underwater Visible Light Communication

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