Table 3. Average norm of sparse code errors of MSE–based OMPs and robust alternatives for different types of noise.
Best results are marked bold. K = K0 = 10.
| Noise | Gaussian | Laplacian | Student | Chi–squared | Exponential |
|---|---|---|---|---|---|
| OMP | 5.92 | 5.69 | 7.14 | 5.22 | 4.43 |
| GOMP | 7.66 | 7.27 | 9.37 | 6.71 | 5.65 |
| CMP | 5.57 | 4.40 | 3.87 | 3.08 | 3.49 |
| Cauchy | 5.88 | 5.21 | 4.43 | 3.95 | 4.06 |
| Fair | 5.92 | 5.34 | 5.05 | 4.45 | 4.13 |
| Huber | 5.80 | 5.04 | 4.57 | 3.92 | 3.89 |
| Tukey | 5.85 | 4.78 | 3.80 | 3.05 | 3.64 |
| Welsch | 5.82 | 4.84 | 3.90 | 3.20 | 3.70 |