Nonlinear Impairment Compensation Using Neural Networks-Reference-Cited by-同舟云学术

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Nonlinear Impairment Compensation Using Neural Networks

Published:2021 Issue: Volume: Page:
ISSN:
Container-title:Optical Fiber Communication Conference (OFC) 2021
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Author:

Fujisawa Shinsuke,Yaman Fatih,Batshon Hussam G.,Tanio Massaki,Ishii Naoto,Huang Chaoran,de Lima Thomas Ferreira,Inada Yoshihisa,Prucnal Paul R.,Kamiya Norifumi,Wang Ting

Publisher

OSA

Reference9 articles.

1. Mitigation of intra-channel nonlinearities using a frequency-domain Volterra series equalizer

2. Improved single channel backpropagation for intra-channel fiber nonlinearity compensation in long-haul optical communication systems

3. Field and lab experimental demonstration of nonlinear impairment compensation using neural networks

Cited by 3 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. Joint PMD Tracking and Nonlinearity Compensation With Deep Neural Networks;Journal of Lightwave Technology;2023-06-15

2. Implementation of a Robust and Power-Efficient Nonlinear 64-QAM Demapper using In-Memory Computing;2023 Optical Fiber Communications Conference and Exhibition (OFC);2023-03

3. Data-Driven Method for Nonlinear Optical Fiber Channel Modeling Based on Deep Neural Network;IEEE Photonics Journal;2022-08

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