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1·According to the statistic characteristic of covariance function, parameter estimation can be given for kernel function.

由协方差函数的统计特征，可给出核函数的参数估计。

2·By the analysis of airborne gravity measurement data, this paper constructs a space covariance function model with spatial characteristics.

本文通过对航空重力测量数据的分析，建立起具有空间相关特性的空间协方差函数模型。

3·According to the Markov approximation under a long haul condition, we get the inter-correlation function, log-amplitude and phase covariance function.

通过长程情况下的马尔科夫近似，得到了互相关函数，对数振幅和相位协方差函数。

4·Finally, the variation of the normalized covariance function of intensity with different strengths of turbulence under zero inner model is discussed in detail.

最后讨论了零内尺度模型下归一化强度协方差函数随湍流强度的变化情况。

5·The influence of turbulence strength, wavelength and propagating distance on the covariance function and normalized variance of the scattering intensity is discussed.

讨论了不同湍流强度、波长和传播距离对强度协方差函数和归一化强度方差的影响。

6·It is shown that the BP neural network method combined with the amino-acid composition and the biased auto-covariance function features could effectively improve the prediction accuracy.

表明： 基于氨基酸组成和有偏自协方差函数为特征矢量的BP神经网络预测蛋白质二级结构含量的方法可有效提高预测精度。

7·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。

8·This paper points out that we can use the density function of the Gaussian distribution to set a thinned array, extending the covariance matrix will advance the gain clearly.

提出利用高斯随机分布的密度函数设置稀疏阵列，在稀疏阵列得到的协方差矩阵经扩展后，增益有了明显的提高。

9·On the other hand, it also derives the covariance propagation formula of non-linear function containing quadratic term in matrix form using the matrix theory etc.

另一方面又利用矩阵理论等推导出含有二次项的非线性函数的协方差传播公式的矩阵形式。

10·An optimal decision model of sensor management based on information efficacy function is proposed. The optimality of the allocation algorithm based on predicting covariance is analyzed.

提出了一种基于信息效能函数的传感器管理最优决策模型，分析了以预测误差协方差为分配效能的分配算法的最优性。