USING THE VARIABLE-LENGTH MANTISSA FOR MODELS’ PARAMETERS ESTIMATION
Abstract
The article is dedicated to the problem of computing process design for computing processes used for systems parameters estimation based on measurements using maximum likelihood method, using variable length mantissa calculations. A new method for the optimal mantissa length for each iteration of perculiar system parameters estimation task determination is presented, based on a series of iteration processes for modelled systems parameters estimation research.
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