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A Machine Learning-Based Detection Technique for Optical Fiber Nonlinearity Mitigation

  • Published:2019-04-15 Issue:8 Volume:31 Page:627-630
  • ISSN:1041-1135
  • Container-title:IEEE Photonics Technology Letters
  • language:
  • Short-container-title:IEEE Photon. Technol. Lett.

Author:

Amari AbdelkerimORCID,Lin XiangORCID,Dobre Octavia A.ORCID,Venkatesan RamachandranORCID,Alvarado AlexORCID

Funder

Atlantic Canada Opportunities Agency

Research Development Corporation Canada

Nederlandse Organisatie voor Wetenschappelijk Onderzoek

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

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2. Applications of Domain Adversarial Neural Network in phase transition of 3D Potts model;Physica A: Statistical Mechanics and its Applications;2024-03

3. An Innovative Temporal Convolutional Network(TCN) Combined with Self-Attention Mechanism for Fiber Nonlinear Compensation;2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings (ACP/POEM);2023-11-04

4. Using Machine Learning Technique, Tracing the Actual Location of Faults in Underground Optical Networks;2023 9th International Conference on Smart Computing and Communications (ICSCC);2023-08-17

5. A survey on machine learning schemes for fiber nonlinearity mitigation in radio over fiber system;Journal of Optical Communications;2023-02-16
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