Machine learning for performance improvement of periodic NFT-based communication system

Research output: Contribution to conferencePaper

Abstract

We compare performance of several machine learning methods, including support vector machine, k-nearest neighbours, k-means
clustering, and Gaussian mixture model, used for increasing transmission reach in the optical communication system based on
the periodic nonlinear Fourier transform signal processing
Original languageEnglish
Number of pages4
Publication statusPublished - 26 Sep 2019
Event2019 European Conference on Optical Communications - Royal Dublin Society, Dublin, Ireland
Duration: 22 Sep 201926 Sep 2019
Conference number: 45
https://www.ecoc2019.org/

Conference

Conference2019 European Conference on Optical Communications
Abbreviated titleECOC 2019
CountryIreland
CityDublin
Period22/09/1926/09/19
Internet address

Bibliographical note

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  • Cite this

    Kotlyar, O., Kamalian Kopae, M., Prilepsky, J. E., Pankratova, M., & Turitsyn, S. K. (2019). Machine learning for performance improvement of periodic NFT-based communication system. Paper presented at 2019 European Conference on Optical Communications, Dublin, Ireland.