@inproceedings{ed2b522970994fcda129ddb54c8bde16,
title = "Worst-case power-constrained noise for binary-input channels",
abstract = "The error probability and capacity of binary-input additive-noise channel are well-known if the noise is Gaussian. A basic problem in communication theory is to find the worst-case performance achievable by any noise distribution as a function of the signal-to-noise ratio. This paper gives a solution to this problem for the two major performance measures: error probability and capacity.",
author = "Sholomo Shamai and Sergio Verdu",
year = "1993",
language = "English (US)",
isbn = "0780308786",
series = "Proceedings of the 1993 IEEE International Symposium on Information Theory",
publisher = "Publ by IEEE",
pages = "262",
booktitle = "Proceedings of the 1993 IEEE International Symposium on Information Theory",
note = "Proceedings of the 1993 IEEE International Symposium on Information Theory ; Conference date: 17-01-1993 Through 22-01-1993",
}