Data of novel features and FS_DT-SSVM
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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”.
本数据集包含11组不同信噪比条件下提取的特征数据以及一组调制分类的仿真结果。特征数据集由2个新颖特征和15个经典特征组成，仿真结果数据集则展示了FS_DT-SSVM分类器的有效性。这些数据与论文《基于新颖特征提取算法的自动调制分类》中的实验数据相匹配。
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IEEE Dataport
