Effects of random-process classification characteristics on measurement processing accuracy

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Abstract

An analysis has been performed of the effects from erroneous observed random-process classification on the accuracy of measurement processing by means of a rolling mean operator. A procedure is proposed for processing random processes that improves the accuracy.

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