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时间序列相关
相关语句
  temporal sequence correlation
     Computer Simulation for Digital Speckle Temporal Sequence Correlation Method and the Choice of System Parameters
     数字散斑时间序列相关的计算机模拟及系统参数选择
短句来源
     In chapter three, the basic principle of digital speckle temporal sequence correlation,speckle-producing method, correlation algorithm and measure operation areintroduced in detail.
     第三章详细介绍了数字散斑时间序列相关方法的基本原理、散斑生成方法、相关算法以及测量操作方法。
短句来源
     Shape Measurement by Digital Speckle Temporal Sequence Correlation Method
     数字散斑时间序列相关三维面形测量方法
短句来源
     The precision enhancement method in shape measurement by digital speckle temporal sequence correlation method
     数字散斑时间序列相关三维面形测量中提高精度的方法
短句来源
     The method goes out of the limit of original horizontal correlation in previous method and is a true temporal sequence correlation method.
     该方法摆脱了以前数字散斑测量法水平相关思路 ,是真正的时间序列相关方法 ;
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  “时间序列相关”译为未确定词的双语例句
     Comparisons made in this paper showthat the correlative length of GPS time series in height component varies from 2 daysto 31 days, rectifying the integral deficiency from zero in random walk process.
     比较表明GPS高程时间序列相关长度约为31到2天变化,纠正了随机漫步过程从零时刻积分的不足。
短句来源
     The soil moisture storages among the upper 3 layer(0~10 cm,10~20 cm,20~40 cm)were correlation with precipitation time series, but there exist a delay time between precipitation series with moisture changes under the 20cm depths.
     对于上部三个层次(0~10cm,10~20cm,20~40cm)的贮水动态与降水时间序列相关; 而20cm以下的土层,与一个滞后时间距的降水时间序列相关系数增大;
短句来源
     When the speckle image is modulated by complex object surface,there exitst deformations and partial shades in the speckle sub image,which causes multi correlation peaks in the correlation curve.
     在数字散斑时间序列相关测量法中 ,当物体表面存在复杂细微结构时 ,被物体调制的散斑图中局部区域的散斑子图像会出现明显变形和局部阴影 ,这时相关曲线会出现多相关峰。
短句来源
     Rainfall as well as the runoff analysis showed that vegetation variation influences the runoff,reducing the annual runoff and sediments by half actually.
     对吴旗县降水量和径流量进行时间序列相关分析、典型年对比分析,表明该县植被变化对年径流通量产生了影响,年径流量和泥沙量减小近一半。
短句来源
     MP4 in streaming format. One MP4 file consists of timing,structure,media information such as video and audio express which are related to the timing sequence of the file media data,and are connected with each other by track technology.
     MP4文件包含了与媒体数据时间序列相关的时间、结构、媒体信息(例如音频/视频表达文件),并通过轨道将它们联系在一起。
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  相似匹配句对
     L-sequence and correlation identification
     L序列相关辨识
短句来源
     Analyze Auto-correlations and Partial-correlations Function in time Series
     时间序列中自相关与偏相关函数分析
短句来源
     Time Sequence Linear Modeling
     时间序列线性建模
短句来源
     TO FORECAST THE WATER YIELD OF COAL MINEAPPLYING THE TIME SERIES INTERRELATEDMODEL WITH MULTIVARIATION
     用多变量时间序列相关模型预测矿井涌水量
短句来源
     Mode Set of Time Sequence and Its Application
     时间序列建模应用
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Based on the nature that river flow series Is a kind of seasonal non-stationary time series,a proper combinatory model describing this nature is developed in this paper.The advantage of the combinatory model is that information in historical data can be fully utilized,i.e.,the correlated information of time series sampled both yearly or monthly can all be used.FORTRAN programs have been written to forecast medium-long terms flow of river by means of this combinatory model.The monthly mean flow forecasted one...

Based on the nature that river flow series Is a kind of seasonal non-stationary time series,a proper combinatory model describing this nature is developed in this paper.The advantage of the combinatory model is that information in historical data can be fully utilized,i.e.,the correlated information of time series sampled both yearly or monthly can all be used.FORTRAN programs have been written to forecast medium-long terms flow of river by means of this combinatory model.The monthly mean flow forecasted one to twelve months ahead of time at Hankou Station on the Long River and Longtan Station on the Hongshuhe River show that the forecasting effect is satisfactory.

基于水文序列是一类周期性非平稳时间序列的特点,本文提出了一种适合描述这一特点的组合模型.这个组合模型的优点在于它能较充分地利用历史数据中蕴含的信息,即它既能利用以年为采样周期的时间序列的相关信息,又能利用以月为采样周期的时间序列的相关信息;编制了FORTRAN语言程序,将它应用于河流的中长期水文预报.从文中所列出的汉口和龙滩水文站的向前1至12个月的水文预报结果可以看出,组合模型的预报效果是较好的.

In this paper, the Theory of Corrclation Analysis on Time Series is applied to very-short-term power system load forecast. System load series is coincided mith Multiply Seasonal ARIMAmodel. The Fast Online Coincidence Algorithm of this model is given in this paper. Load forecast is implemanted with Inverse Function Method and Smoothing Method. Practical calculations hawe shown that the algorithms in this paper can satisfy the demands of online calculation which requires rapidity and precision.

本文将时间序列相关分析理论应用于电力系统超短期负荷预报。用乘积型周期性ARIMA模型在线拟合系统负荷序列,并给出了模型的快速在线拟合算法。采用逆函数法并辅以平滑处理完成负荷预报。实例计算表明,本文算法预报速度快,预报精度高。

Grassberger Procaccia algorithm is used to calculate the correlation dimension of 8-channel human EEG signals. T'he influences of length of time series, time delay and embedding dimesion on the value of EEG correlation dimension were investigated. It indicated that the results of calculation are greatly influenced by the reasonable choice of parameters. Besides, it seemed that EEG signals can not be defined as a stable chaotic attractor. Therefore,the attempt to take the correlation dimension as a precise...

Grassberger Procaccia algorithm is used to calculate the correlation dimension of 8-channel human EEG signals. T'he influences of length of time series, time delay and embedding dimesion on the value of EEG correlation dimension were investigated. It indicated that the results of calculation are greatly influenced by the reasonable choice of parameters. Besides, it seemed that EEG signals can not be defined as a stable chaotic attractor. Therefore,the attempt to take the correlation dimension as a precise and objective parameter to indicate human brain functions in different physiological states is almost unfeasible.

应用Grassberger—Procaciaalgorithm算法,通过点列长度、时间延迟、嵌入维数等参数的变化,对人的8导脑电时间序列的相关维数值的影响进行了研究。结果表明不仅参数的选用是否合理对计算值影响很大,而且脑电信号不像是一个稳定的混沌吸引子,因此拟用相关维数作为一项客观指标来准确地表示大脑的不同功能状态,几乎是不可能的。

 
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