西安理工大学学报2011，Vol.27Issue(4)：411-416,6.
基于小波消噪的植物电信号频谱特征分析
The Analysis on Spectrum Characteristic of Plant Electrical Signal Based on Wavelet De-Noising
摘要
Abstract
The paper studies the basic characteristics and the changing laws of aloe electrical signals under different temperatures based on wavelet soft threshold de-noising method and Fast Fourier Transform. The spectral edge frequency ( SEF) , spectral gravity frequency ( SGF) and power spectral entropy ( PSE ) of plant electrical signals are used to study the changes of power spectrum of aloe electrical signals under different temperatures. The results show that the magnitude of aloe electrical signal is a strength of mV, and the frequency is below 5 Hz. The SEF and SGF in aloe leaves move to the high frequency as the temperature increases, and the PSE of the electrical signal has a dramatic increase. The study reveals that the SEF, SGF and PSE have the consistent trend to change and there is a significant relevance between PSE and SGF during the process of raising temperature. It is considered that the changes of the PSE and SGF in aloe leaves can be used as sensitive index of external environment change in leaf cells, and then implement scientific regulators of physiological and biochemical process of plant growth and development.关键词
植物电信号/小波分析/功率谱/温度/芦荟Key words
plant electrical signal/ wavelet analysis/ power spectrum/ temperature/ Aloe vera L分类
信息技术与安全科学引用本文复制引用
张晓辉,余宁梅,习岗,孟晓丽..基于小波消噪的植物电信号频谱特征分析[J].西安理工大学学报,2011,27(4):411-416,6.基金项目
国家自然科学基金资助项目(50977079) （50977079）
陕西省教育厅专项科研计划基金资助项目(09JK667). （09JK667）
