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We consider the detection of a known frequency modulated signal corrupted by a known heavy-tailed additive noise. Two different techniques are presented. The first one is based on the Neyman-Pearson theorem and the second technique is based on the time-frequency distribution of the signal. A statistical performance comparison, using the receiver operating characteristics (ROC), of the two methods is also presented.