The essence of wavelet transform is to decompose the signal (function) into projections on different spaces, these spaces are orthogonal, and their direct sum is the integrable function space L 2 ( R ) L^2(\textbf{R } )L2 (R). The approximation coefficient and detail coefficient are the projection values on the corresponding space, which reflect the characteristics of the function (signal) on this scale.