Worst case additive noise for binary-input channels and zero-threshold detection under constraints of power and divergence

DOI10.1109/18.605590zbMath0878.94045OpenAlexW2160299300MaRDI QIDQ4345623

Sergio Verdú, Andrew L. McKellips

Publication date: 23 July 1997

Published in: IEEE Transactions on Information Theory (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/343ffd157041afdc430b0df1ed1c14edbe604dd6

zbMATH Keywords

hypothesis testingKullback-Leibler divergencedetectionGaussian error probabilityleast favorable noise

Mathematics Subject Classification ID

Detection theory in information and communication theory (94A13) Channel models (including quantum) in information and communication theory (94A40)

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