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微弱电信号的信息融合检测分析
引用本文:王兰州,李峤.微弱电信号的信息融合检测分析[J].中国计量学院学报,2010,21(1).
作者姓名:王兰州  李峤
作者单位:中国计量学院,生命科学学院,浙江,杭州,310018
基金项目:浙江省自然科学基金资助项目 
摘    要:将自制的具有铂金传感器的双重屏蔽微弱电信号测试系统,所获取的植物微弱电信号、小波软阈值消噪、时间序列的求和自回归移动平均(ARIMA)模型等单因素分析耦合成信息融合技术,对雏菊电信号时间序列进行了数据融合分析预测.雏菊电信号为微伏量级,其幅值有随温度的升高而微弱增加的趋势.ARIMA模型对植物微弱电信号特性进行预测是可行的.以节能为目标依据雏菊植物自适应电信号的预测参数可作为建立塑料大棚智能化控制系统的重要依据.

关 键 词:求和自回归移动平均模型  微弱电信号  小波消噪  智能控制  雏菊

Information fusion inspected technology on the processing of electrical signals by ARIMA model in Bellis perennis
WANG Lan-zhou,LI Qiao.Information fusion inspected technology on the processing of electrical signals by ARIMA model in Bellis perennis[J].Journal of China Jiliang University,2010,21(1).
Authors:WANG Lan-zhou  LI Qiao
Affiliation:WANG Lan-zhou,LI Qiao(College of Life Sciences,China Jiliang University,Hangzhou 310018,China)
Abstract:An information fusion technology was successfully coupled to the analysis of original weak electrical signals in Bellis perennis,which consisted of a touching testing using platinum sensors in a system of self-made double shields,the signals denoised by the wavelet soft threshold and a forecast system of time series by the autoregressive integrated moving average(ARIMA) constructed with plant characters of electrical signals.The signal of this plant was μV capacity,and the value increased with a hoist of th...
Keywords:ARIMA  weak electrical signal  wavelet de-noising  intelligent automatic control  Bellis perennis  
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