Abstract

This paper presents an application of the Wavelet Method to denoise in time series gives a compare with a traditional Fourier method, using the discrete transform. The key point of this method is choosing a wavelet function to estimate the variance of noise and determining the threshold. Moreover, we study some measures of the error and effectiveness among noise-suppression methods.