@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",

}