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We present in this paper a general scheme for automatic radiocommunication signal classification. More specifically, we show how signal processing algorithms combined with pattern recognition techniques allow extraction of information about spectral characteristics and type of modulation. Three main subsystems are considered: preanalysis, feature extraction and classification. We give a description of all of them and significative simulation results.