Assessment of impact of the learning sample volume on probabilities of stationary process recognition in the spectral domain

Analytical relationships are derived permitting to determine the number of realizations necessary for establishment of weight coefficients of the parametric decision rule, which ensure a preset probability of recognition. The results of numerical simulation are presented making it possible to estimate the recognition reliability when determining the parameters of the decision rule based on a single learning realization.