10.21227/0M92-Z416
Xiaolin Zhang
Xiaolin
Zhang
0000-0002-7694-9883
College of Information and Communication Engineering, Harbin Engineering University
Jianting Sun
Jianting
Sun
0000-0001-8625-6805
College of Information and Communication Engineering, Harbin Engineering University
Xiaotong Zhang
Xiaotong
Zhang
0000-0003-3994-0692
College of Information and Communication Engineering, Harbin Engineering University
Data of novel features and FS_DT-SSVM
IEEE DataPort
2019
Communications
Signal Processing
Modulation Classification
2019-12-03
Dataset
Creative Commons Attribution
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”.