DocumentCode
3285034
Title
De-noising of spectral signal based on stationary wavelet transform
Author
Zhe, Xu ; Di, Zhang
Author_Institution
Coll. of Electron. Inf. & Control Eng., Beijing Univ. of Technol., Beijing, China
fYear
2011
fDate
15-17 April 2011
Firstpage
3098
Lastpage
3101
Abstract
In order to effectively alleviate the effect of noise in spectral signal, stationary wavelet is applied to process the spectral signal in this paper. The simulation result of stationary wavelet transform and classic wavelet transform on wheat canoy and rice canoy respectively show that both wavelet are effective in alleviating the effects of noise, while stationary wavelet gets a better SNR and reserves character of signal.
Keywords
signal denoising; wavelet transforms; rice canoy; spectral signal de-noising; stationary wavelet transform; wheat canoy; Atmospheric modeling; Noise reduction; Signal to noise ratio; Sun; Wavelet analysis; Wavelet transforms; de-noising; spectral signal; stationary wavelet transform;
fLanguage
English
Publisher
ieee
Conference_Titel
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-8036-4
Type
conf
DOI
10.1109/ICEICE.2011.5777848
Filename
5777848
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