A method for discrimination between image signals and pulse interferences on the basis of a neural like network and a modified Bayesian rule
A method is proposed for discrimination between image signals and Gaussian modal pulse interferences on the basis of joint use of a neural like network and a modified Bayesian decision making procedure optimal with respect to the criterion of minimum joint loss. The results of numerical testing of the method are presented. These results demonstrate a reduction in the number of errors of discrimination between signals and interferences as compared to that provided by the traditional minimum average risk criterion and open opportunities of solving the problem under the conditions of total a priori uncertainty.