Palagin V. The algorithms for the signals' detection on background of Non-Gaussian noise on the criterion of asimptotical normality.

The dissertation is devoted to detection of signals on Non-Gaussian noise. The purpose of work is the development and research of algorithms of detection of signals accepted on Non-Gaussian noise for construction of the decisive rules with smaller probabilities of errors, which are based on use moments of a criterion of quality of choice of decision functions and stochastic polynomials of a final degree. Methods of a research is the theory of decisionmaking, methods of detection of signals. The construction moment of a criterion of an asymptotic normality is indicated. The optimum algorithms of detection of different types of signals on background of Non-Gaussian noise are synthesied. The block diagrams of signals' detectors are developed. An orb of use is communication, the radar-location.