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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.
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Article Details
Issue: Vol 13 No 1 (2010)
Page No.: 94-101
Published: Mar 30, 2010
Section: Engineering and Technology - Research article
DOI: https://doi.org/10.32508/stdj.v13i1.2075
Copyright Info
Copyright: The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
To, D., & Hoang, H. (2010). APPLYING WAVELET METHOD FOR DENOISING IN TIME SERIES. Science and Technology Development Journal, 13(1), 94-101. https://doi.org/https://doi.org/10.32508/stdj.v13i1.2075
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