Partition Optimization for a Random Process Realization to Estimate its Expected Value

Abstract

The paper provides an analytical proof the optimal number of partitions of a non-stationary random process realization, which is necessary for estimating its expected value when using “the estimation reproduction” method for signal processing. This method allows to process signal with a limited volume of priori information about the desired signal function and statistical characteristics of the additive noise component.