Practical results show that, by using wavelet decomposition and reconstruction, this method can efficiently extract weak deformation characteristics from the observed data series having strong noises.
结果表明，借助于小波分解与重构，可有效地从强噪声干扰的观测数据序列中提取变形特征。
The results show that when to data to be observed is unequal interval, it is more effective for the grey-chaos time series to analyse the data.
结果表明，当观测数据为非等时序列，采用灰色混沌时间序列进行分析比较有效；
We exploit the above prediction model validate effect while there are omitted data in observed time series and propose the corresponding resolve.
应用基于邻近点的非线性自适应预测模型验证了观测时间序列存在数据缺损时的预测效果，并提出了相应的解决办法。
Although the period of using ar, MR, ARMA, ARIMA modeling methods of time series analysis for observed seismic data processing is not long, it is believed that these methods are promising.
时间序列分析中的AR,MR,ARMA,ARIMA等建模方法应用于地震观测资料分析中尚为时不长，是很有发展前途的地震信息处理方法。
Based on the feature of subgrade construction and with the analysis of the observed settlement data, a series of stress-strain isochrones are arranged in this paper.
本文基于高速公路路基填筑的特点，通过实测沉降资料的分析，整理出一系列应力应变等时曲线。
The time series method is used to extract the regular part from the residual series received by modeling of observed data.
介绍了大坝观测资料统计模型的建模方法 ，并结合实例 ，探讨了观测资料缺值对统计模型精度的影响及其处理的方法 。
Through analyzing the real data series of that time, it observed that the early rice which appeared high empty husks rate were premature and special early-maturing plants.
根据实地调查的数据表明，出现高空秕率的早稻属于早熟和特早熟品种。
Through analyzing the real data series of that time, it observed that the early rice which appeared high empty husks rate were premature and special early-maturing plants.
根据实地调查的数据表明，出现高空秕率的早稻属于早熟和特早熟品种。
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