TY - GEN
T1 - Universal Wyner-Ziv coding of discrete memoryless sources with known side information statistics
AU - Raginsky, Maxim
PY - 2008/9/29
Y1 - 2008/9/29
N2 - We consider a universal variant of the Wyner-Ziv problem of lossy source coding with decoder side information, where the marginal distribution of the side information is known, while the conditional distribution of the source sequence given the side information is only assumed to lie in a given parametric family. Our approach combines minimum-distance channel estimation with a recent scheme of Jalali, Verdú and Weissman based on discrete universal denoising with auxiliary information. Our scheme is universal under mild regularity conditions. We also give a concrete example of a family of sources satisfying the regularity conditions.
AB - We consider a universal variant of the Wyner-Ziv problem of lossy source coding with decoder side information, where the marginal distribution of the side information is known, while the conditional distribution of the source sequence given the side information is only assumed to lie in a given parametric family. Our approach combines minimum-distance channel estimation with a recent scheme of Jalali, Verdú and Weissman based on discrete universal denoising with auxiliary information. Our scheme is universal under mild regularity conditions. We also give a concrete example of a family of sources satisfying the regularity conditions.
UR - http://www.scopus.com/inward/record.url?scp=52349098089&partnerID=8YFLogxK
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U2 - 10.1109/ISIT.2008.4595374
DO - 10.1109/ISIT.2008.4595374
M3 - Conference contribution
AN - SCOPUS:52349098089
SN - 9781424422579
T3 - IEEE International Symposium on Information Theory - Proceedings
SP - 2167
EP - 2171
BT - Proceedings - 2008 IEEE International Symposium on Information Theory, ISIT 2008
T2 - 2008 IEEE International Symposium on Information Theory, ISIT 2008
Y2 - 6 July 2008 through 11 July 2008
ER -