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Interchannel nonlinearity compensation using a perturbative machine learning technique

Research output: Contribution to journal › Article › peer-review

DOI

https://doi.org/10.1016/j.optcom.2021.127026
Final published version

Original language	English
Article number	127026
Journal	Optics Communications
Volume	493
DOIs	https://doi.org/10.1016/j.optcom.2021.127026
Publication status	Published - 15 Aug 2021

OECD FOS+WOS

1.03 PHYSICAL SCIENCES AND ASTRONOMY
1.04 CHEMICAL SCIENCES
2.02 ELECTRICAL ENG, ELECTRONIC ENG
2.05 MATERIALS ENGINEERING

State classification of scientific and technological information

29 PHYSICS

Research areas

Fiber nonlinearity compensation, Inverse perturbation theory, Machine learning, Optical communication system

ID: 28454245