Wpe packet4/13/2023 ![]() ![]() Here, db2, db3, db4, db5, db8, sym2, sym3, sym5, sym7, sym8, bior1.3, bior2.2, bior2.8, coif1 and coif5 wavelet packet decomposition filters are separately used for DWPT of these digital modulated radio signals, respectively. Fourth, test data is given to inputs of MSVM classifier for evaluating the classification performance of this proposed classification approach. Third, these wavelet packet energy features are given to inputs of multiclass support vector machine (MSVM) classifier. Second, the wavelet packet energies of these DWPTs are calculated. In this approach, first, the discrete wavelet packet transforms (DWPTs) of digital modulated radio signal types are performed. In this study, a novel application of wavelet packet energy–multicass support vector machine (WPE–MSVM) is proposed to perform automatic modulation classification of digital radio signals.
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