Abstract.
Processing
of a stationary train of random time intervals employing nonlinear
transformation of the length of each interval aimed at eventually getting the
interval distribution moments is discussed. The transformation is set to be
following exponential law for reasons of materialization simplicity and
accuracy. A set of equations is indicated, of which the limit form solution
provides the moments in question. Two options of managing the equations, as
well as the respective systematic error issue, are discussed, the error in one
case heavily relying on one’s
individuality.
An outline of a construction for carrying out the proposed
measurements is shown. It contains interval transformation units and an
averaging device. No time to digit conversion is implied. This secures
expansion of the range of intervals being processed into a shorter time domain
as compared with a digital
case.
Some
thoughts are shared regarding realization of the transformation units. Noted
are ones based on peculiarities of the magnetization cycle of magnetic
materials. For the case of processing uniformly distributed time intervals the
anticipated results are presented and commented.
Key words:
processing random length time intervals, measuring of distribution moments.
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