An Efficient Construction Strategy for Near-Optimal Variable-Length Error-Correcting Codes

Yen Ming Chen, Feng Tsang Wu, Chih Peng Li, Pramod Kumar Varshney

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

In this letter, we present an efficient cross-entropy (CE)-based algorithm for the design of variable-length error-correcting (VLEC) codes under the joint source and channel coding (JSCC) framework. The algorithm enables us to construct the near-optimal VLEC codes that have the minimum average codeword length (ACL) with low search complexity. The efficiency of the proposed CE-based algorithm makes it possible to construct the VLEC codes that have small ACL values under various free-distance constraints, especially for large-sized signal alphabets.

Original languageEnglish (US)
Article number8606251
Pages (from-to)398-401
Number of pages4
JournalIEEE Communications Letters
Volume23
Issue number3
DOIs
StatePublished - Mar 1 2019

Keywords

  • cross-entropy method
  • Joint source-channel coding (JSCC)
  • separate source-channel coding (SSCC)
  • variable-length error-correcting (VLEC) codes

ASJC Scopus subject areas

  • Modeling and Simulation
  • Computer Science Applications
  • Electrical and Electronic Engineering

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