样本协方差矩阵

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。

This result has extended the positive definitiveness of covariance matrix of continuous sample in theory.

从而本论文推广了连续型样本协方差矩阵的正定性。

The sufficient and necessary conditions of positive definitiveness of a covariance matrix from multivariate discrete data are obtained.

本论文通过引入p-向量配、I-线性组合及它们的性质，研究离散型样本协方差矩阵的正定性问题。

Further more, this thesis has provided a new method for optimizing sampling in theory, and established the probability model for the positive definitiveness of discrete sample by which the number of sampling was optimized.

在应用上，建立了离散型样本协方差矩阵正定的概率模型；提出了一种新的优化抽样调查设计方案，优化了抽样个数。

This thesis discussed the positive definitiveness of the covariance matrix of sample whose variables are discrete data by using p-vector match, I-Linear combination and their properties.

对于变量取离散数据的样本协方差矩阵的正定性，很少有学者进行研究。

In this thesis we focused on the research of spectral distribution of large dimensional matrix and its application in multivariate statistical analysis.

本文的研究工作主要集中在大维样本协方差矩阵谱分布的理论研究及其在多元统计分析中的应用。

While the LCLS method is used to minimize the energy of the linearly fused information, the neural-network algorithm is developed to overcome the ill-conditioned and singular problems of the sample covariance matrix in the LCLS method.

LCLS方法用来最小化线性融合信息的能量，而神经网络算法则用来处理出现于LCLS方法中的样本协方差矩阵的不良条件和奇异性问题。

In functional optical imaging,the very low SNR makes the sample covariance matrix have singularity,which brings the whitening the operation of the ICA denoising method to reduce the dimensionality,so the ICA denoising method will lost the signal detection ability.

在光学功能成像中，极低信噪比会使得样本协方差矩阵具有奇异性，因此导致Emir等人提出的ICA去噪方法在白化预处理过程会出现降维现象，最终使得该方法无法检测出信号。

The improved criteria on the constraint conditions of kernel functions in our results should also provide a better understanding of the asymptotic properties of the ESD of large dimensional sample covariance matrices.

具我们结果中核函数的限制的改进准则，可以对大维样本协方差矩阵的经验谱分布的渐近性质有一个更进一步的理解。

The performance of a disturbance covariance matrix is degradated in space time adaptive processing when it is estimated with secondary data contaminated by targetlike signals.

针对空时自适应处理中样本协方差矩阵受干扰目标污染时检测性能下降的问题，提出了一种基于知识的空时自适应处理（knowledge aided space time adaptive processing， KASTAP）方法。

In the negative and interrogative forms, of course, this is identical to the non-emphatic forms.

。但是，在否定句或疑问句里，这种带有"do"的方法表达的效果却没有什么强调的意思。

Go down on one's knees;kneel down

屈膝跪下。。。下跪祈祷