# Information Security and Cryptography Research Group

## 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},
}