Z-score averaging neural network and background content removal for high performance rolling shutter based optical camera communication (OCC)

  • Yun Shen Lin
  • , Yang Liu
  • , Chi Wai Chow*
  • , Yun Han Chang
  • , Dong Chang Lin
  • , Shao Hua Song
  • , Ke Ling Hsu
  • , Chien Hung Yeh
  • *Corresponding author for this work

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

Abstract

We propose and demonstrate using Z-score averaging neural-network (Z-NN) and background-content-removal (BCR) to mitigate the inter-symbol-interference (ISI) in camera-communication (OCC). 950-bit/s over 3-m free-space transmission is achieved.

Original languageEnglish
Title of host publicationOptical Fiber Communication Conference, OFC 2021
PublisherOptica Publishing Group (formerly OSA)
ISBN (Electronic)9781557528209
StatePublished - 2021
EventOptical Fiber Communication Conference, OFC 2021 - Virtual, Online, United States
Duration: 6 Jun 202111 Jun 2021

Publication series

NameOptics InfoBase Conference Papers

Conference

ConferenceOptical Fiber Communication Conference, OFC 2021
Country/TerritoryUnited States
CityVirtual, Online
Period6/06/2111/06/21

Fingerprint

Dive into the research topics of 'Z-score averaging neural network and background content removal for high performance rolling shutter based optical camera communication (OCC)'. Together they form a unique fingerprint.

Cite this