DIGITAL MODULATION CLASSIFICATION DATA

 This data comprises .mat matrices used in the process of automatic modulation classification using deep learning classifiers. It is composed of two raw I\/Q matrices generated in matlab, the Cyclic Cumulant computed from them and the algorithm used to for the extraction. The I\/Q samples contain 8 sets of 50000 signals representing 8 different digital modulations types generated with the same parameters. Carrier Frequency Offset (CFO) is the main difference between the two samples. CFO has been considered in the computation of one sample and have been disregarded or excluded in the computation of the other. the modulation types include BPSK, MSK ,QPSK, 16QAM, 8PSK, 64QAM, \u03c0\/4-DQPSK, 256QAM.