Machine Learning-based Modulation Format Identification and Optical Performance Monitoring Techniques Implementation-Reference-Cited by-同舟云学术

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Machine Learning-based Modulation Format Identification and Optical Performance Monitoring Techniques Implementation

Published:2021-12-15 Issue: Volume: Page:
ISSN:
Container-title:2021 Advanced Communication Technologies and Signal Processing (ACTS)
language:
Short-container-title:

Author:

Devi Pukhrambam Puspa¹,Vincent ²,Simatupang Joni Welman³

Affiliation:

1. National Institute of Technology Silchar,Department of Electronics and Communication Engineering

2. Institut Teknologi Bandung,School of Electrical Engineering and Informatics,Bandung 40132,Indonesia

3. President University,Study Program of Electrical Engineering,Bekasi 17530,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9707904/9707905/09708283.pdf?arnumber=9708283

Reference25 articles.

1. Machine Learning for Network Automation: Overview, Architecture, and Applications [Invited Tutorial]

2. An Optical Communication's Perspective on Machine Learning and Its Applications

3. Quality of Transmission Prediction with Machine Learning for Dynamic Operation of Optical WDM Networks

4. Machine-Learning-Based Soft-Failure Detection and Identification in Optical Networks

5. Modulation formats recognition technique using artificial neural networks for radio over fiber systems

Cited by 2 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. Performance Evaluation of Optical Transmission Based on Link Estimation by Using Deep Learning Techniques;IEEE Access;2024

2. Cascaded modulation format identification and optical signal-to-noise ratio estimation method for optical communication system;Optical Engineering;2022-12-27

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