sample covariance matrix

sample covariance matrix的基本解释

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样本协方差矩阵

与sample covariance matrix相关的网络例句 [注：此内容来源于网络，仅供参考]

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。

Traditional multivariable analysis method, for example, principal component analysis method and factor analysis method, are common in calculating the mean vector, the covariance matrix of sample and other variables.

摘要传统的多元统计分析方法，如主成分分析方法和因子分析方法等的共同点是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。

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。

Moreover, it processes only a single snapshot data with no use for the formation of the sample covariance matrix and matrix inversion operation.

同时，它只对单快拍数据进行处理，避免了样本协方差矩阵的构造以及矩阵求逆运算，更适合于实时处理。

Nevertheless, in many practical applications such as in low sample support or when the signal statistics are rapidly time-varying, we may not have enough sample to form the sample covariance matrix.

然而，常规的子空间估计方法由于涉及到阵列协方差矩阵的估计及其特征值分解，从而需要较高的计算复杂度。

与sample covariance matrix相关的网络解释 [注：此内容来源于网络，仅供参考]

sample covariance matrix：样本协方差矩阵

此矩阵包含了样本外显变项间的相互关系,称为样本协方差矩阵(sample covariance matrix),简写S. 为揭示外显变项相互关系所隐含潜伏因子(latent factors)之特性及关系,研究者建立模式界定潜伏因子与外显变项之关系,称为测量模式(measurement model).

sample covariance matrix：样本协方差阵

sample covariance 样本协方差 | sample covariance matrix 样本协方差阵 | sample dispersion 样本方差