English

Reliability in Source Coding with Side Information

Information Theory 2015-03-19 v1 math.IT

Abstract

We study error exponents for source coding with side information. Both achievable exponents and converse bounds are obtained for the following two cases: lossless source coding with coded information (SCCSI) and lossy source coding with full side information (Wyner-Ziv). These results recover and extend several existing results on source-coding error exponents and are tight in some circumstances. Our bounds have a natural interpretation as a two-player game between nature and the code designer, with nature seeking to minimize the exponent and the code designer seeking to maximize it. In the Wyner-Ziv problem our analysis exposes a tension in the choice of test channel with the optimal test channel balancing two competing error events. The Gaussian and binary-erasure cases are examined in detail.

Keywords

Cite

@article{arxiv.1109.0923,
  title  = {Reliability in Source Coding with Side Information},
  author = {Benjamin G. Kelly and Aaron B. Wagner},
  journal= {arXiv preprint arXiv:1109.0923},
  year   = {2015}
}

Comments

55 pages, 5 figures. Extended manuscript with all proofs. Shorter article submitted to IEEE Trans. Inf. Theory in September 2011

R2 v1 2026-06-21T18:59:54.114Z