Received 05.12.2022, Revised 22.02.2023, Accepted 22.03.2023

Two-quadrant analog-digital conversion of monte carlo

Lubomyr Petryshyn

In the current conditions of technological development and under last year's circumstances, the use of mobile means of remote control and information transformation is justified by ease of use, reliability, safety of pilot operators and economic efficiency. An urgent task is the development and implementation of effective methods and means of analog-digital conversion. In control systems, a number of sources of information have the character of integral accumulation of instantaneous parameter values. It is substantiated that the method of Monte Carlo statistical research is effective for the transformation of such information. The application of this method was limited by the need to implement generators of pseudo-random code sequences with a uniform distribution. The development of the Monte Carlo analog-to-digital conversion method proposed in the article was based on the application of code orderings generated by reflectively mapped Rademacher functions. The conducted studies showed one of the best uniformity distribution indicators of the scanning signal of the analog-to-digital Monte Carlo converters. Based on the proposed method of generating pseudo-random code sequences with uniform distribution, digital generators-formers of reference signals as part of Monte Carlo analog-to-digital converters were developed for the first time. The circuit of the Monte Carlo analog-to-digital converter, which carries out two-quadrant analog-to-digital conversion separately of the "+" and "–" components of the converted signal, as well as its integral value, was developed and investigated. A Monte Carlo analog-to-digital conversion scheme has been developed. Oscillograms and time diagrams of the formation of numerical pulses as a result of the conversion are given. The proposed Monte Carlo analog-to-digital conversion method and device have the prospect of application in resource consumption accounting systems, in particular, accounting for electric energy, fuel, gas, water, and other media

analog-digital conversion, Monte Carlo, probability
58-65
Petryshyn, L. (2023). Two-quadrant analog-digital conversion of monte carlo. Information Technologies and Computer Engineering, 20(1), 58-65. https://doi.org/10.31649/1999-9941-2023-56-1-58-65

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