Worst-case power-constrained noise for binary-input channels

Sholomo Shamai, Sergio Verdu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationProceedings of the 1993 IEEE International Symposium on Information Theory
PublisherPubl by IEEE
Number of pages1
ISBN (Print)0780308786
StatePublished - Jan 1 1993
Externally publishedYes
EventProceedings of the 1993 IEEE International Symposium on Information Theory - San Antonio, TX, USA
Duration: Jan 17 1993Jan 22 1993

Other

OtherProceedings of the 1993 IEEE International Symposium on Information Theory
CitySan Antonio, TX, USA
Period1/17/931/22/93

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Fingerprint Dive into the research topics of 'Worst-case power-constrained noise for binary-input channels'. Together they form a unique fingerprint.

Cite this