Design of Lossy Source Coding Based on the Duality Between Source and Channel Coding Principle

Guanchang Li, Ya Lian, Wensheng Lin, Lixin Li, Reza Asvadi, Fucheng Yang, Tad Matsumoto

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

Abstract

This paper introduces an innovative method for low-complexity lossy source coding, according to duality between source and channel coding principles. Based on the Hamming code, we design hybrid Hamming code by utilizing the duality-based method. In the design process, it is shown that the syndrome of the hybrid Hamming code can be utilized as a complementary code to improve the reconstruction via the successive refinement link. This paper presents results of the simulations conducted to make a comparison in bit error rate (BER) performance between the hybrid Hamming code and the hybrid majority voting (HMV) code under different signal to noise ratio (SNR) in standalone links. Performance of hybrid Hamming code is also demonstrated in the case the coded sequences are transmitted over the refinement link.

Original languageEnglish
Title of host publication2024 12th International Conference on Information Systems and Computing Technology, ISCTech 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350379860
DOIs
StatePublished - 2024
Event12th International Conference on Information Systems and Computing Technology, ISCTech 2024 - Xi'an, China
Duration: 8 Nov 202411 Nov 2024

Publication series

Name2024 12th International Conference on Information Systems and Computing Technology, ISCTech 2024

Conference

Conference12th International Conference on Information Systems and Computing Technology, ISCTech 2024
Country/TerritoryChina
CityXi'an
Period8/11/2411/11/24

Keywords

  • Hamming codes
  • lossy source coding
  • low complexity
  • non-linear compression
  • Rate-distortion

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