Representation of the approximating function by a monotonic function while restricting a priori information about the measured process
2019
The paper presents the proof of constructing an estimate of a useful signal in the form of a monotone function in the general sense of the concept with minimizing the sum of the deviation modules of the estimate from the measurement results with a limited amount of a priori information about both the useful signal function and the statistical characteristics of the additive noise component.
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