DocumentCode :
2786449
Title :
Application of de-noising method for wheat spectral signal
Author :
Zhe, Xu ; Hua, Zhang ; Zhuo, Liu ; Wenjiang, Huang
Author_Institution :
Beijing Univ. of Technol., Beijing, China
fYear :
2009
fDate :
17-19 June 2009
Firstpage :
2040
Lastpage :
2042
Abstract :
A method of wavelet transform is used for spectral signal processing in portable spectrometer to eliminate noise signal. An adaptive threshold method is validated in choosing threshold in this paper. Compared with traditional means, this method can eliminate noise more efficiently, and the details of signal are retained better. Simulation result proves outstanding performance of this method.
Keywords :
adaptive signal processing; agricultural products; farming; signal denoising; spectral analysis; spectrometers; wavelet transforms; adaptive threshold method; farmland monitoring; noise signal elimination; portable spectrometer; spectral signal processing; wavelet transform; wheat spectral signal denoising method; Filters; Frequency; Noise reduction; Optical noise; Signal analysis; Spectroscopy; Wavelet analysis; Wavelet coefficients; Wavelet transforms; Working environment noise; adaptive threshold; noise signal; spectral signal;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-2722-2
Electronic_ISBN :
978-1-4244-2723-9
Type :
conf
DOI :
10.1109/CCDC.2009.5192096
Filename :
5192096
Link To Document :
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