In this paper, the problem of joint analog and digital modulation classification is considered. A new set of features is proposed to identify the modulation format of a received signal, based on which a binary decision tree classifier is then developed. The theoretical developments and effectiveness of the proposed classifier are confirmed through simulations.
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Dobre et al. (2005) studied this question.
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