Open AccessAPPLYING WAVELET METHOD FOR DENOISING IN TIME SERIES
Author(s) -
Dzung Anh To,
Ha Hoang
Publication year - 2010
Publication title -
khoa học công nghệ
Language(s) - English
Resource type - Journals
ISSN - 1859-0128
DOI - 10.32508/stdj.v13i1.2075
Subject(s) - wavelet , discrete wavelet transform , computer science , noise reduction , noise (video) , series (stratigraphy) , algorithm , pattern recognition (psychology) , wavelet transform , artificial intelligence , mathematics , image (mathematics) , paleontology , biology
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.