From: A novel approach to extracting useful information from noisy TFDs using 2D local entropy measures
SNR | Proposed method | Local entropy-based algorithm | RICI TFD threshold | 5% | 10% | 15% |
---|---|---|---|---|---|---|
Signal 1 | ||||||
−3 dB | Acc= 0.983 | Acc= 0.964 | Acc= 0.982 | Acc= 0.887 | Acc= 0.959 | Acc= 0.969 |
0 dB | Acc= 0.985 | Acc= 0.974 | Acc= 0.984 | Acc= 0.897 | Acc= 0.97 | Acc= 0.979 |
3 dB | Acc= 0.993 | Acc= 0.978 | Acc= 0.992 | Acc= 0.988 | Acc= 0.985 | Acc= 0.978 |
6 dB | Acc= 0.993 | Acc= 0.965 | Acc= 0.992 | Acc= 0.919 | Acc= 0.919 | Acc= 0.919 |
10 dB | Acc= 0.994 | Acc= 0.986 | Acc= 0.972 | Acc= 0.919 | Acc= 0.919 | Acc= 0.919 |
Signal 2 | ||||||
−3 dB | Acc= 0.961 | Acc= 0.967 | Acc= 0.953 | Acc= 0.868 | Acc= 0.933 | Acc= 0.942 |
0 dB | Acc= 0.973 | Acc= 0.967 | Acc= 0.973 | Acc= 0.91 | Acc= 0.956 | Acc= 0.955 |
3 dB | Acc= 0.983 | Acc= 0.95 | Acc= 0.981 | Acc= 0.972 | Acc= 0.961 | Acc= 0.948 |
6 dB | Acc= 0.983 | Acc= 0.983 | Acc= 0.975 | Acc= 0.912 | Acc= 0.912 | Acc= 0.912 |
10 dB | Acc= 0.987 | Acc= 0.982 | Acc= 0.983 | Acc= 0.912 | Acc= 0.912 | Acc= 0.912 |