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

研究成果: Conference contribution

抄録

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.

本文言語English
ホスト出版物のタイトルOECC/PSC 2019 - 24th OptoElectronics and Communications Conference/International Conference Photonics in Switching and Computing 2019
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9784885523212
DOI
出版ステータスPublished - 2019 7
外部発表はい
イベント24th OptoElectronics and Communications Conference/International Conference Photonics in Switching and Computing, OECC/PSC 2019 - Fukuoka, Japan
継続期間: 2019 7 72019 7 11

出版物シリーズ

名前OECC/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
国/地域Japan
CityFukuoka
Period19/7/719/7/11

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信
  • 信号処理
  • 電子工学および電気工学
  • 器械工学
  • 原子分子物理学および光学

フィンガープリント

「ANN Equalizer for Performance Improvement of PAM-M Signals Using 1.3-\mu \mathrm{m} Membrane DML-on-Silicon」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル