Table 2 MSE (e-04) results by different sampling methods on the synthetic dataset with the level of sparsity \(K = 10\)
From: An efficient algorithm with fast convergence rate for sparse graph signal reconstruction
(\(\alpha\), \(\beta\)) | Method | 0.5 | 0.55 | 0.6 | 0.65 | 0.7 | 0.75 | 0.8 | 0.85 |
|---|---|---|---|---|---|---|---|---|---|
(1,0) | M1 | 9.3151 | 9.2130 | 8.8923 | 8.2633 | 7.9741 | 7.2571 | 6.9424 | 6.7387 |
M2 | 9.4287 | 8.7822 | 8.3408 | 8.0105 | 7.6194 | 6.9537 | 6.4531 | 6.1303 | |
M3 | 8.3720 | 7.7240 | 6.9148 | 6.1557 | 5.8381 | 5.3223 | 5.2342 | 4.9766 | |
M4 | 6.3576 | 6.0159 | 5.3556 | 4.7726 | 4.5479 | 4.1092 | 3.6688 | 3.2437 | |
(0.5, 0.5) | M1 | 8.3209 | 8.0074 | 7.2315 | 7.0279 | 6.5951 | 6.1238 | 6.0080 | 5.8691 |
M2 | 7.0078 | 6.6124 | 6.3325 | 6.1226 | 5.9933 | 5.5821 | 5.2836 | 5.2012 | |
M3 | 7.1729 | 6.1226 | 6.0600 | 5.3581 | 5.1465 | 4.7184 | 4.5138 | 4.3031 | |
M4 | 6.0781 | 5.6632 | 5.1807 | 4.7119 | 3.6494 | 3.0292 | 2.8508 | 2.6001 | |
(0.6733, 0.3076) | M1 | 6.2298 | 6.1240 | 5.8017 | 5.6523 | 4.8146 | 4.3353 | 4.1801 | 4.0527 |
M2 | 5.6647 | 5.3052 | 4.6223 | 4.0760 | 3.9889 | 3.6483 | 3.1214 | 3.0013 | |
M3 | 4.6444 | 4.3012 | 3.9950 | 3.3606 | 3.0927 | 2.7887 | 2.5122 | 2.1321 | |
M4 | 4.3353 | 3.4229 | 2.8767 | 2.2077 | 1.7236 | 1.2061 | 0.9031 | 0.8125 |