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