Channel coding and source coding with increased partial side information

Avihay Sadeh-Shirazi, Uria Basher, Haim Permuter

Research output: Contribution to journalArticlepeer-review

Abstract

Let (S1,i, S2,i) ~ i.i.d p(s1, s2), i = 1, 2, ... be a memoryless, correlated partial side information sequence. In this work, we study channel coding and source coding problems where the partial side information (S1, S2) is available at the encoder and the decoder, respectively, and, additionally, either the encoder's or the decoder's side information is increased by a limited-rate description of the other's partial side information. We derive six special cases of channel coding and source coding problems and we characterize the capacity and the rate-distortion functions for the different cases. We present a duality between the channel capacity and the rate-distortion cases we study. In order to find numerical solutions for our channel capacity and rate-distortion problems, we use the Blahut-Arimoto algorithm and convex optimization tools. Finally, we provide several examples corresponding to the channel capacity and the rate-distortion cases we presented.

Original languageEnglish
Article number467
JournalEntropy
Volume19
Issue number9
DOIs
StatePublished - 1 Sep 2017

Keywords

  • Blahut-Arimoto algorithm
  • Channel capacity
  • Channel coding
  • Duality
  • Gelfand-Pinsker channel coding
  • Partial side information
  • Rate-distortion
  • Source coding
  • Wyner-Ziv source coding

ASJC Scopus subject areas

  • General Physics and Astronomy

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