### 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 language | English (US) |
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Title of host publication | Proceedings of the 1993 IEEE International Symposium on Information Theory |

Publisher | Publ by IEEE |

Number of pages | 1 |

ISBN (Print) | 0780308786 |

State | Published - Jan 1 1993 |

Externally published | Yes |

Event | Proceedings of the 1993 IEEE International Symposium on Information Theory - San Antonio, TX, USA Duration: Jan 17 1993 → Jan 22 1993 |

### Other

Other | Proceedings of the 1993 IEEE International Symposium on Information Theory |
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City | San Antonio, TX, USA |

Period | 1/17/93 → 1/22/93 |

### All Science Journal Classification (ASJC) codes

- Engineering(all)

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## Cite this

Shamai, S., & Verdu, S. (1993). Worst-case power-constrained noise for binary-input channels. In

*Proceedings of the 1993 IEEE International Symposium on Information Theory*Publ by IEEE.