Reduction of nonlinear distortion in SOA-based wavelength conversion system by post-blind-compensation based on machine learning clustering-Reference-Cited by-同舟云学术

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Reduction of nonlinear distortion in SOA-based wavelength conversion system by post-blind-compensation based on machine learning clustering

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Optical Fiber Communication Conference (OFC) 2019
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Author:

Lin Yi,Giacoumidis Elias,O’Duill Sean,Anthur Aravind P.,Barry Liam P.

Publisher

OSA

Reference6 articles.

1. Enabling Technologies for Next-Generation Optical Packet-Switching Networks

2. Wavelength conversion of optical 64QAM through FWM in HNLF and its performance optimization by constellation monitoring

3. Characterization and Optimization of a High-Efficiency AlGaAs-On-Insulator-Based Wavelength Converter for 64- and 256-QAM Signals

4. Wideband wavelength conversion of 16 Gbaud 16-QAM and 5 Gbaud 64-QAM signals in a semiconductor optical amplifier

5. Postcompensation of Nonlinear Distortions of 64-QAM Signals in a Semiconductor-Based Wavelength Converter

Cited by 1 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. Experimental Demonstration of a Simplified SOA Nonlinearity Mitigation scheme;2023 Optical Fiber Communications Conference and Exhibition (OFC);2023-03

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