Method for step-by-step adaptation of the width of measurement interval to signal parameters

It is indicated that the known methods for measuring some initial signal lead to errors if the width of the measuring intervals does not step by step adapt to changing signal parameters. A new approach to measurement is used, revealing a unified physical basis for measurement and instrumental computation. A new algorithm as a consequence of this approach is designed to obtain a sequence of discrete samples that matched to locally determined averaging intervals. Resulting sequence of averaging intervals ensures a decrease in the measurement or computing error. The results of calculations on three arrays of samples are presented with fixed and adaptable averaging intervals.