Demo: Deep Joint Source-Channel Coding for Underwater Image Transmission

Khizar Anjum, Zhuoran Qi, Dario Pompili

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

Abstract

Traditional methods for coding underwater acoustic communications are bound to be surpassed by methods optimizing for source-channel coding jointly. However, the complexity of joint-optimization has thwarted successful breakthroughs in this area. We, therefore, present a novel approach, where we model the coding problem as the translation problem of the input sequence to another glanguage', depending on the estimated channel conditions.

Original languageEnglish (US)
Title of host publicationWUWNet 2022 - 16th International Conference on Underwater Networks and Systems
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450399524
DOIs
StatePublished - Nov 14 2022
Event16th International Conference on Underwater Networks and Systems, WUWNet 2022 - Boston, United States
Duration: Nov 14 2022Nov 16 2022

Publication series

NameACM International Conference Proceeding Series

Conference

Conference16th International Conference on Underwater Networks and Systems, WUWNet 2022
Country/TerritoryUnited States
CityBoston
Period11/14/2211/16/22

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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