Abstract
A number of data for a discrete wavelets transform is required to be a power of 2, and therefore, part of the data obtained by field observations or laboratory experiments are not frequently applied for the analyses. We propose that Fourier transform is useful to interpolate and extrapolate the data for increasing or decreasing the number of data for the discrete wavelets analysis. The raw data is firstly transformed to the Fourier coefficients by Fourier transform. Then the inverse Fourier transform makes it possible to the number of data comprising a power of 2.
