Identification of signals under statistical uncertainty

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Abstract

The statistical problem of accepting one of two hypotheses against the background of random noise is considered for the case when the a priori probability distribution of the hypotheses truth is known. The Bayesian risk is adopted as the objective function for optimizing the decision rule. Particular cases are considered.

About the authors

V. V. Klimov

Fryazino Branch Kotelnikov Institute of Radioengineering and Electronics RAS

Email: klimov47@list.ru
Fryazino, Moscow Region, 141190

References

  1. Krapivin, V.F., Mkrtchyan, F.A., Kovalev, V.I., and Klimov, V.V. Proceedings of the VIII International Symposium “Problems of Ecoinformatics”. Moscow: MNTORES named after A.S. Popov, December 16–17, 2008, P. 35.
  2. Mkrtchyan, F.A., Krapivin, V.F., Kovalev, V.I., and Klimov, V.V. Microwave and Optical Technology Letters, 2009, Vol. 51, No. 11, P. 2792.
  3. Klimov, V.V. Proceedings of the International Symposium “Engineering Ecology – 2009”. Moscow: MNTORES named after A.S. Popov, December 8–9, 2009, P. 169.
  4. Klimov, V.V. Proceedings of the VIII International Symposium “Problems of Ecoinformatics”. Moscow: MNTORES named after A.S. Popov, December 16–17, 2008, P. 127.
  5. Lehmann, E. Testing Statistical Hypotheses. Moscow: Nauka, 1979.
  6. Blackwell, D. and Girshick, M.A. Theory of Games and Statistical Decisions. Moscow: Foreign Literature Publishing House, 1958.
  7. Klimov, V.V. Proceedings of the VII International Symposium “Problems of Ecoinformatics”. Moscow: MNTORES named after A.S. Popov, December 5–7, 2006, P. 165.

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