Abstract
The paper has proposed two algorithms for the classification of pulse signals under conditions of a priori uncertainty with regard to the shape of pulses which have been distorted by modulation interference, which are sampled against a background of broadband noise. The a priori uncertainty is revealed via self-teaching of the classification device.
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