Studies On The Micro Electric Wave Signal Of Plants

From the end of 2003 to the end of 2005, this study at the first time systematically tested the electric wave signal of Crassitla portulacea, Jasminum sambac, Aloe vera var. chinensis, Scindpsus aureus, Catharanthus roseus, Celosia cristata, Clivia miniata in different instance(24 hours testing, 12 hours testing etc). And we made comprehensive treatment and analysis by using the time domain analysis method, frequency domain analysis method, wavelet analysis method and time series analysis method to the large numbers of data of the plant electric wave signal we obtained, and successfully set up the plant → the electric wave signal obtaining →the computer information data processing → the plant electric wave signal characteristic analyzing → the plant physiological adaption detecting and forecasting system. The major result we got is:1. The average peak to peak value of the seven plants electric wave signal all are several hundreds, and its mean-square value is small, witch indicated the value of the plant itself electric wave signal is μV level and is a kind of low frequency micro signal.2. Took the db3 wavelet as the basis function to decompose the plant electric wave signal in 5 scale. With the scale changing from the low level to high level, the detail component of each scale of the plant electric wave signal was evidently displayed. Reconstructed the quantized high frequency coefficient and the low frequency coefficient of the fifth level of wavelet decomposed, and achieved the denoising to the plant electric wave signal.3. Founded the AR model for the plant electric wave signal: Crassula portulacea:x(n)= 1.95516x(n-1) - 0.91114x(n-2) -0.41287x(n-4) + 0.65251 x(n-5)- 0.12294 x(n-6) - 0.28019x(n-7) - 0.19178x(n-8) +0.54703x(n-9) - 0.12636x(n-10)-0.15383x(n-11)+ 0.21684x(n-14) -0.3721x(n-15)...