GMM based low-complexity adaptive machine-learning equalizers for optical fiber communication-Reference-Cited by-同舟云学术

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GMM based low-complexity adaptive machine-learning equalizers for optical fiber communication

Published:2022-08 Issue: Volume:517 Page:128312
ISSN:0030-4018
Container-title:Optics Communications
language:en
Short-container-title:Optics Communications

Author:

Tian Fukui,Gao Yunfeng,Yang Chuanchuan^ORCID

Funder

Ministry of Science and Technology of the People's Republic of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Physical and Theoretical Chemistry,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference39 articles.

1. Datacenter optical interconnects: Requirements and challenges;Xie,2017

2. DSP-enabled 100 gb/s PAM-4 VCSEL MMF links;Lavrencik;J. Lightwave Technol.,2017

3. D.M. Kuchta, Higher Speed VCSEL Links using Equalization, in: ECOC 2016

4. 42nd European Conference on Optical Communication, 2016, pp. 1-3.

5. Experimental demonstration of C-band 112-gb/s PAM4 over 20-km SSMF with joint pre- and post-equalization;Tang,2020

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1. Data-driven composition design and property optimization of solid solution and precipitation simultaneously strengthened non-oriented silicon steel;Materials & Design;2024-06

2. Non-separability classification of degrees of freedom of light assisted by machine learning;Optics Communications;2023-10

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