ANN Equalizer for Performance Improvement of PAM-M Signals Using 1.3-\mu \mathrm{m} Membrane DML-on-Silicon

Nikolaos Panteleimon Diamantopoulos, Takuro Fujii, Hidetaka Nishi, Koji Takeda, Takaaki Kakitsuka, Shinji Matsuo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A two-stage nonlinear equalization scheme based on a reduced Volterra filter and an artificial neural network (ANN) is studied for energy-efficient short-reach optical interconnects using 1.3-\mu m directly-modulated membrane lasers on silicon (DML-on-Si) and PAM-M signals.

Original languageEnglish
Title of host publicationOECC/PSC 2019 - 24th OptoElectronics and Communications Conference/International Conference Photonics in Switching and Computing 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9784885523212
DOIs
Publication statusPublished - 2019 Jul
Externally publishedYes
Event24th OptoElectronics and Communications Conference/International Conference Photonics in Switching and Computing, OECC/PSC 2019 - Fukuoka, Japan
Duration: 2019 Jul 72019 Jul 11

Publication series

NameOECC/PSC 2019 - 24th OptoElectronics and Communications Conference/International Conference Photonics in Switching and Computing 2019

Conference

Conference24th OptoElectronics and Communications Conference/International Conference Photonics in Switching and Computing, OECC/PSC 2019
Country/TerritoryJapan
CityFukuoka
Period19/7/719/7/11

Keywords

  • Data Center Network and Subsystem
  • Digital signal processing techniques for optical communications
  • Si photonic and heterogeneous platform
  • Transmission experiments for data-center interconnect

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Electrical and Electronic Engineering
  • Instrumentation
  • Atomic and Molecular Physics, and Optics

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