Title :
Power spectrum analysis of maize based on wavelet de-noising
Author :
Zhang, Xiaohui ; Yu, Ningmei ; Meng, Xiaoli ; Xi, Gang
Author_Institution :
Faculty of Automation and Information Engineering, Xi´´an University of Technology, China
Abstract :
In order to study the basic characteristics of maize signals, maize signal was decomposed through coif3 wavelet at 5 scales, de-noised and reconstructed. Then, power spectrum of the reconstructed signal was analyzed by Fast Fourier transform (FFT).The result showed that the strength of maize electrical signal was µV level and the distribution of frequency was below 2Hz. The 60% of the total energy in power spectrum of the signal was below 0.4Hz.
Keywords :
Electrodes; Noise; Noise reduction; Wavelet analysis; Wavelet coefficients; Plant electrical signal; maize; power spectrum analysis; wavelet de-nosing;
Conference_Titel :
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location :
Hangzhou, China
Print_ISBN :
978-1-4244-7616-9
DOI :
10.1109/ICISE.2010.5691798
