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
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;
Conference_Titel :
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-8036-4
DOI :
10.1109/ICEICE.2011.5777848
