Computer Modeling of Noise Signals Processing System in Non-Gaussian Noise

This paper is devoted to the modeling and improvement of communication systems using noise signals at modulation of parameters of non-Gaussian random processes. The algorithms of noise signal processing is synthesized when applying polynomial decision rules by the moment quality criterion of upper bounds of error probability. New mathematical models and methods of noise signals processing are developed. Simulation of the communication system was carried out in Simulink.