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样本协方差

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Simulation results indicate that the algorithm can reach the same convergent performance by using half samples as the sample matrix inversion algorithm.

仿真结果表明,此算法用采样协方差求逆类算法一半的样本数就可取得相同的收敛性能。

The commons among those methods is that all of them calculate the mean vector and the covariance matrix of sample then calculate other variables by using them.

这些方法有个共同的地方就是都会计算样本的均值向量和协方差矩阵,并在这两者的基础上计算其他统计量。

In this paper,an improvement is made through selecting a group of normal orthogonal vectors in feature subspace,to generate large amount of virtual training samples.

在模式特征子空间中选取一组标准正交向量,使用这组向量可以生成大量的虚拟训练样本,从而实现对协方差矩阵的优化。

In this paper, an improvement is made through selecting a group of normal orthogonal vectors in feature subspace, to generate large amount of virtual training samples.

摘要在模式特征子空间中选取一组标准正交向量,使用这组向量可以生成大量的虚拟训练样本,从而实现对协方差矩阵的优化。

Point estimation is the estimation of the mean, variance, and covariance of a random variable from sample data.

点估计是样本数据随机变化的方式,差异,协方差的估计。

The paper studies the auto-covariance estimation of Gamma distribution by using the asymptotic behavior of student U -statistic,gives the large sample interval estimation for the scale parameter,and carries out the computing simulation according to the method of random simulation.

利用学生氏U-统计量的渐近性质,研究伽玛分布的自协方差估计,同时给出了尺度参数的大样本区间估计,并采用随机模拟的方法进行计算模拟

The results of numerical experiments show that the method has the ability to filter the sample noise from limited number of background error member, to estimate the true background error correlation functions.

试验结果表明:基于球面小波的背景误差协方差模拟方法能够克服由有限背景误差样本引入的取样噪声,有效地估计出真实的背景误差相关函数。

The method will become invalidation and the scatter matrix will become a zero matrix when any class or per-son has only one training pattern available.

当仅有一个训练样本时,该方法中的协方差矩阵就变成了零矩阵,方法就会失效。

By doing so, the effect of training data pollution in STAP is mitigated.

另一种方法是根据已知的雷达系统参数计算出近程杂波的距离多普勒二维分布,在STAP处理时将包含近程杂波的距离单元剔除使之不参与协方差矩阵的统计,这样就减少了样本污染对STAP的影响。

But when there are outliers in the sample, these methods are easily affected by them.

但是当样本数据中包括离群值时,计算结果就会很容易受到这些离群值的影响,这是因为传统的均值向量和协方差矩阵都不是稳健的统计量。

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