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Features distinguishing signals in the detection in the solution of the Bayesian classifier


V.A. Ivanov – Dr. Sc. (Eng.), Professor A.N. Gomonov – Ph. D. (Eng.), Assistant Professor V.A. Anistratenco – Ph. D. (Eng.)

The possibility of applying the statistical methods to build classifier object detection on the based on a threshold discrimination of the signals from the detection devices. The dependence of the risk of functioning from the level of detail distinguish between object classes. Examines the factors influencing efficiency of functioning of the subsystem of recognition. Determined by likelihood ratio based on the Bayesian approach.


  1. Krjukov I.N., Zvezhinskijj S.S., Ivanov V.A., Gomonov A.N., Dukhan E.I. Magnitometricheskie sredstva obnaruzhenija. Radiotekhnika. 2013. 191s.
  2. Zvezhinskijj S.S., Larin A.I. Perimetrovye maskiruemye magnitometricheskie sredstva obnaruzhenija // Specialnaja tekhnika. 2001. № 4.


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