Denoising on COVID-19 (t=100)
0.0023MSE (sigma=0.5)FFT soft threshold
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| FFT soft threshold2025.11 | 0.0023 | 0.0005 | 0.0005 | |
| II-RP-GFRFTRotation Matrix Type=yaw, k=10/10/102025.11 | 0.1751 | 0.4728 | 0.763 | |
| 1D total variation2025.11 | 1.4028 | 1.9696 | 4.3384 | |
| Tikhonov 1st diff.2025.11 | 2.4293 | 4.251 | 11.857 | |
| Moving average2025.11 | 2.6752 | 4.4255 | 10.266 | |
| Median filter2025.11 | 2.9 | 4.1754 | 8.6838 | |
| Gaussian smoothing2025.11 | 3.9211 | 7.919 | 21.719 | |
| Savitzky–Golay2025.11 | 4.1771 | 6.7465 | 32.927 | |
| ChebNet2025.11 | 100.24 | 550.23 | 1,075.4 | |
| GCNII2025.11 | 100.32 | 557.13 | 1,083.1 | |
| GCN2025.11 | 102.11 | 560.79 | 1,088.2 | |
| GraphSAGE2025.11 | 105.54 | 534.57 | 1,061.6 | |
| APPNP2025.11 | 108.42 | 541.4 | 1,080.4 | |
| GAT2025.11 | 108.58 | 533.91 | 1,125.8 |