Threshold of Denoising Weak Electrical Signals in Plants from Daubechies Wavelet Transform
Changcheng Li, Laiwu Yin, Dong Chen, Xiaohong Tang · 2013
In order to find the solution to the problems in collection and identification of the weak electrical signals in the physical environment, this paper, based on the analysis of the relevant principles, presents a denoising method using multilevel threshold based on the detailed coefficients of Daubechies wavelet transform through a deduction process of the method. This method uses the analysis of the minimum frequency components of signals to determine the maximum decomposition levels with the ability of extracting and processing the plant weak electrical signals. The simulation experiments show the method is effective in denoising, especially for the restoration of the weak electrical signals with high noise background, and it can be used in extracting and processing the weak electrical signals and is an effective method of detecting the signals.