Abstract
The paper is devoted to the problem of searching the optimal parameters of time sampling of random stationary processes. Based on the analysis of existing approaches to this problem, the author suggests the approach developed by S. V. Dotsenko. This approach was applied for determining the optimal parameters of time sampling for the process, reflecting the change of carbon oxide content in exhaust gases of internal combustion engine. The algorithm for calculating the optimal parameters of time sampling was developed. Using the graphical environment of simulation modeling Simulink, the models of analog-digital and digital-analog converters are constructed. Simulation was carried out taking into account the optimal parameters obtained by the method, proposed by S. Dotsenko, and using the Nyquist sampling theorem. Based on the obtained results of relative errors of digital conversion, conclusions on advantages of the method, chosen by the author, were made.
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