The Likelihood Encoder for Lossy Source Compression
Information Theory
2014-04-24 v1 math.IT
Abstract
In this work, a likelihood encoder is studied in the context of lossy source compression. The analysis of the likelihood encoder is based on a soft-covering lemma. It is demonstrated that the use of a likelihood encoder together with the soft-covering lemma gives alternative achievability proofs for classical source coding problems. The case of the rate-distortion function with side information at the decoder (i.e. the Wyner-Ziv problem) is carefully examined and an application of the likelihood encoder to the multi-terminal source coding inner bound (i.e. the Berger-Tung region) is outlined.
Cite
@article{arxiv.1404.5683,
title = {The Likelihood Encoder for Lossy Source Compression},
author = {Eva C. Song and Paul Cuff and H. Vincent Poor},
journal= {arXiv preprint arXiv:1404.5683},
year = {2014}
}
Comments
5 pages, 2 figures, ISIT 2014