Maximin Performance of Binary-Input Channels with Uncertain Noise Distributions

@article{McKellips1998MaximinPO,
  title={Maximin Performance of Binary-Input Channels with Uncertain Noise Distributions},
  author={Andrew L. McKellips and Sergio Verd{\'u}},
  journal={IEEE Trans. Inf. Theory},
  year={1998},
  volume={44},
  pages={947-972}
}
  • Andrew L. McKellips, Sergio Verdú
  • Published 1998
  • Mathematics, Computer Science
  • IEEE Trans. Inf. Theory
  • We consider uncertainty classes of noise distributions defined by a bound on the divergence with respect to a nominal noise distribution. The noise that maximizes the minimum error probability for binary-input channels is found. The effect of the reduction in uncertainty brought about by knowledge of the signal-to-noise ratio is also studied. The particular class of Gaussian nominal distributions provides an analysis tool for near-Gaussian channels. The asymptotic behavior of the least… CONTINUE READING

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