METHOD FOR AUTOMATED ROBUST CLASSIFICATION RADIO SIGNALS ACCORDING TO STRUCTURE-TIME PARAMETERS Russian patent published in 2012 - IPC G06N3/02 

FIELD: information technology.

SUBSTANCE: method comprises steps where educational data are clustered based on a competition principle which enables to build a set of standard vectors of structure-time parameters of known classes of radio signals with automatic estimation of a value σ for each standard vector; using these data to build a probabilistic neural network; using the built probabilistic neural network to estimate probability density distribution of known classes of radio signals in the region of an unknown (classified) signal and the unknown signal is identified with a class having the highest probability density distribution in the region of the unknown signal, characterised by that before building the probabilistic neural network.

EFFECT: automation and increase in robustness of the process of classifying radio signals according to structure-time parameters.