Abstract
A new way for removing noises which is based on foggy theory (SSNF) was proposed. After twice wavelet converting and 3D filter, the coefficients which can't be through the filters should be realized removing noises by foggy threshold treating. According to the simulating results that the noises signals of HeaviSine and Doppler are removed, it is found that this way has well function of inhibiting noises, and keeps the informations in interrupted dots. Compared with the traditional shielding filter, the SSNF has better effect of removing noises to different signal of containing noises.
| Original language | English |
|---|---|
| Pages (from-to) | 2099-2102 |
| Number of pages | 4 |
| Journal | Guangzi Xuebao/Acta Photonica Sinica |
| Volume | 37 |
| Issue number | 10 |
| State | Published - Oct 2008 |
Keywords
- Fuzzy threshold
- Signal denoising
- Spatially selective noise filtration