APPLYING WAVELET METHOD FOR DENOISING IN TIME SERIES | Zendy

Dzung Anh To | Zendy; Ha Van Hoang | Zendy

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APPLYING WAVELET METHOD FOR DENOISING IN TIME SERIES

Author(s) -

Dzung Anh To,

Ha Van Hoang

Publication year - 2010

Publication title -

science and technology development journal

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.

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