Data of novel features and FS_DT-SSVM

Xiaolin Zhang, Jianting Sun & Xiaotong Zhang
This dataset has 11 sets of feature data extracted with different signal-to-noise and a set of simulation results of modulation classification. Feature dataset consists of 2 novel features and 15 classic features, and dataset of simulation results represents the effectiveness of FS_DT-SSVM classifier. These data match the experimental data of the paper “Automatic Modulation Classification Based on Novel Feature Extraction Algorithms”.
This data repository is not currently reporting usage information. For information on how your repository can submit usage information, please see our documentation.