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协方差

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This PPT introduces covariance function and its formula for calculating the variation function and its formula, Kriging interpolation process, and finally given an example based Kriging interpolation.

详细说明:本PPT介绍了协方差函数及其计算公式,变异函数及其计算公式,克里格插值方法的过程,最后给了一个基于克里金插值的实例。

As for the characters of the Doppler Radar radial velocity data, the single variable background error covariance is used. And the anisotropic covariance function is adopted in the horizontal plane.

其根据多普勒雷达径向速度资料的特点,水平方向采用非各向同性的单变量背景场误差协方差函数。

Stationary process: spectral decomposition of covariance function, spectral decomposition of stationary process, linear time invariant system, ergodic theorem, sampling theorem.

平稳过程:协方差函数的谱分解,平稳过程的谱分解,线性时不变系统,遍历定理,采样定理。

The application of Karhunen-Loeve expansion to simulating the soil parameters random field is researched;and the characteristics of the KL decomposition are analyzed;and the Galerkin finite element method is adopted to solve the integral equation numerically in the irregular region and for arbitrary covariance function and to simulate the anisotropic conductivity field.

研究了Karhunen-Loeve展开在土性参数随机场模拟中的应用,分析了KL展开的特点,针对不规则区域和任意类型协方差函数提出了积分方程的Galerkin数值解法,模拟了土壤渗透系数各向异性随机场。

The background component must be calculated by integration of the product of aerodynamic force covariance and influence function, instead of mode superimposition, while the resonant component only consider the contribution of the 1st mode.

前者不能按振型分解法求解,而应通过对气动力协方差与影响函数乘积积分的方法来计算;后者可只考虑一阶振型的贡献,两者应按平方和开方的原则组合得到脉动风致响应的峰值。

This project derives a general express of experiential covariance function, which is the basis of achivement of interpolation, extrapolation and continuation of local gravity field variables and estimation theirs at different heights.

提出局部重力场元经验协方差函数的通用表达方法,为实现局部重力场元的内插、外推、延拓或其他不同高度的重力场元估计一体化奠定理论基础。

This paper introduces the fast calculation for the converse matrix of covariance matrix.

介绍了求协方差矩阵的逆矩阵的快速算法。

Finally, the difference of the positive definite conditions for discrete and continuous sample covariance matrix is discussed.

并通过比较两者的正定性条件,总结出离散型与连续型样本协方差矩阵的不同之处。

In this paper, the random effects of covariance matrix positive for the promotion of research.

把随机效应的协方差推广为正定阵进行研究。

Just include inverse of covariance matrix for the training data you used.

只要包括协方差矩阵的逆的训练数据,您使用。

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