@inproceedings{bd657cd5e1c348109db6c25f58c1ec7c,
title = "The likelihood encoder for lossy source compression",
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.",
author = "Song, {Eva C.} and Paul Cuff and Poor, {H. Vincent}",
year = "2014",
doi = "10.1109/ISIT.2014.6875192",
language = "English (US)",
isbn = "9781479951864",
series = "IEEE International Symposium on Information Theory - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2042--2046",
booktitle = "2014 IEEE International Symposium on Information Theory, ISIT 2014",
address = "United States",
note = "2014 IEEE International Symposium on Information Theory, ISIT 2014 ; Conference date: 29-06-2014 Through 04-07-2014",
}