With the characteristic of its time-frequency analysis

wavelet can overcome the defect of the traditional filtering methods and appropriately evaluate the surface topography. This paper proposed a novel signal separation method based on double density wavelet transform (DDWT) for engineering surface analysis. The method provides near shift-invariance in surface texture extraction and improves the separation accuracy of roughness

waviness and other frequency component.