This article presents a general approach to increasing the accuracy of
measurements and pattern recognition. A criterion for informativeness
of an ensemble of signals is derived for the general case of an arbit
rary signal distribution. An algorithm for determining the values of p
arameters from measurement signals is based on the probabilistic dista
nce of measured points from calibration points.