Title :
Studies On the Weak Electric Wave Signals of Plants by the Wavelet Analysis
Author :
Jinli, Ding ; Lanzhou, Wang ; Haixia, Li ; Dongsheng, Li
Author_Institution :
China Jiliang Univ., Hangzhou
Abstract :
The ´db3´ wavelet was choose as a basis function to decompose the electric wave signals in 5 levels and the low and high frequency coefficients of 6 species plants were obtained, and the coefficients after denoise were reconstructed in this work at the first time. A result of the analysis of the wavelet in plant electric wave signals indicates that plant electric wave signals are of changing of characters in the each frequencies scale. In the low frequency level, the main character of the plant electric wave signal is reflected; the noise of the determined signal and also the mutation of the signal in the high frequency level are reflected respectively. That the denoised signal of plants after wavelet analysis is similar with the original one indicates that the wavelet analysis is fit for the research on the plant electric wave signals. There are between -200~500 muV of the electric wave signals in 6 growing plants.
Keywords :
biology computing; signal denoising; wavelet transforms; db3 wavelet; plant electric wave signals; wavelet analysis; weak electric wave signals; Biomedical signal processing; Frequency domain analysis; Low-frequency noise; Noise reduction; Signal analysis; Signal processing; Transient analysis; Wavelet analysis; Wavelet domain; Wavelet transforms; plant electric wave signal; signal processing1 Introduction; wavelet transform;
Conference_Titel :
Control Conference, 2007. CCC 2007. Chinese
Conference_Location :
Hunan
Print_ISBN :
978-7-81124-055-9
Electronic_ISBN :
978-7-900719-22-5
DOI :
10.1109/CHICC.2006.4346914