Efficiency of two algorithms for the classification of arbitrarily shaped pulse signals

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.