Smooth Renyi Entropy and Applications
Renato Renner and Stefan Wolf
IEEE International Symposium on Information Theory — ISIT 2004, IEEE, pp. 233, Jun 2004.
We introduce a new entropy measure, called smooth Renyi entropy. The measure characterizes fundamental properties of a random variable Z, such as the amount of uniform randomness that can be extracted from Z or the minimum length of an encoding of Z. In particular, for the important case of many independent realizations of the same random experiment, smooth entropy converges to Shannon entropy.
BibTeX Citation
@inproceedings{RenWol04a,
author = {Renato Renner and Stefan Wolf},
title = {Smooth {R}enyi Entropy and Applications},
booktitle = {IEEE International Symposium on Information Theory --- ISIT 2004},
pages = {233},
year = {2004},
month = {6},
publisher = {IEEE},
}