Optical fiber equalization of complex valued signals using real-valued neural networks

Gil Paryanti, Dan Sadot

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A method for optical fiber equalization using neural network is proposed. The method uses digital up-conversion for processing the complex valued signal with significant reduction in network size without impact on equalization performance.

Original languageEnglish
Title of host publicationSignal Processing in Photonic Communications, SPPCom 2020
PublisherOptica Publishing Group (formerly OSA)
ISBN (Print)9781943580798
StatePublished - 1 Jan 2020
EventSignal Processing in Photonic Communications, SPPCom 2020 - Washington, United States
Duration: 13 Jul 202016 Jul 2020

Publication series

NameOptics InfoBase Conference Papers
VolumePart F191-SPPCom 2020
ISSN (Electronic)2162-2701

Conference

ConferenceSignal Processing in Photonic Communications, SPPCom 2020
Country/TerritoryUnited States
CityWashington
Period13/07/2016/07/20

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Mechanics of Materials

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