Abstract
Experimental confirmation of the adaptive theory of recognition and stable determination of information components as part of a given vector of estimated parameters of an ill-posed inverse problem that arises in the processing of measurement information is presented. The experiment is based on numerical simulation of the problem of determining the parameters of a transformation of the coordinates of the points of a satellite geodetic network into the state coordinate basis by means of a decomposition model. The advantages of the Helmert decomposition model and an adaptive regularization algorithm for stable estimation of the information regularization parameters for stable estimation of the information parameters of a transformation by comparison with the initial Helmert model are confirmed.
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