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Studies on the plant electric wave signal by the wavelet analysis

机译:基于小波分析的植物电波信号研究

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In this study, we choose that the 'db3' wavelet as the basis function to decompose the electric wave signal in 5 levels and a low and high frequency coefficient of 6 species plants are obtained, and coefficients after denoise are reconstructed for 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; in the high frequency level, the noise of the determined signal and also the mutation of the signal are reflected respectively. That the denoised signal of plants by wavelet analysis is similar with the original one indicates that the wavelet analysis is fit for studies on the plant electric wave signal. There are-200~500μV of the electric wave signals in growing plants.
机译:在这项研究中,我们选择“ db3”小波作为分解5级电波信号的基函数,并获得6种植物的低频和高频系数,并首次重建降噪后的系数。对植物电波信号中小波的分析结果表明,植物电波信号在各个频率范围内都有变化的特征,在低频水平上,反映了植物电波信号的主要特征。在高频水平上,分别反映所确定信号的噪声以及信号的突变。小波分析的植物去噪信号与原始信号相似,表明小波分析适合植物电波信号的研究。生长植物中有-200〜500μV的电波信号。

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