Corrective filtering of conversion and digital processing results of non-sinusoidal signals

The systematic approach to increasing the accuracy of information-measuring systems was proposed from the perspective of the concept of corrective filtering. Considering that the information-measuring systems under study are dynamic systems and that the important attributes of such systems are ADC, the modern requirements imposed on these converters were systematized. Based on the analysis of existing works, the possibilities of reducing methodological error were considered, and the importance of cleaning the sub-integral function from noise, that is, reducing instrumental errors, was substantiated. The corrective properties of the discrete averaging operator during digital measurements of the integral parameters of nonsinusoidal signals were studied. The fact that this operator has a corrective character with respect to the systematic and random errors of the instantaneous values of alternating current signals was confirmed by statistical modeling.