1 Introduction
2 Feature extraction
2.1 Power spectrum entropy
2.2 Singular spectrum entropy
2.3 Wavelet energy entropy
2.4 Renyi entropy
2.5 Sample entropy
3 Classifiers
3.1 AdaBoost
3.2 Gradient boosting
3.3 Extreme gradient boosting
4 Experiments
4.1 AdaBoost with weak learners
4.2 Comparison of boosting
SNR | Classifier | ||
---|---|---|---|
AdaBoost | GBDT | Xgboost | |
− 10 dB | 0.783 | 0.8501 | 0.8465 |
− 7 dB | 0.894 | 0.928 | 0.928 |
− 4 dB | 0.993 | 0.993 | 0.993 |
− 3 dB | 1.000 | 1.000 | 1.000 |
− 1 dB | 1.000 | 1.000 | 1.000 |
2 dB | 1.000 | 1.000 | 1.000 |
5 dB | 1.000 | 1.000 | 1.000 |
8 dB | 1.000 | 1.000 | 1.000 |
11 dB | 1.000 | 1.000 | 1.000 |
14 dB | 1.000 | 1.000 | 1.000 |
17 dB | 1.000 | 1.000 | 1.000 |
20 dB | 1.000 | 1.000 | 1.000 |