然而，目前国内外有关协方差矩阵正定性的研究结果并不多，并且大多是集中在连续型样本协方差矩阵方面。
However, there have been few outcomes about the positive definitiveness of covariance matrix, most of which have been restricted to the Covariance-matrix of continuous sample.
从应用角度出发，解决了双样本均值向量和协方差矩阵的检验问题。
The testing problem of double sample's average vector and covariance matrix has been solved in the paper.
但研究发现在极低信噪比，由于观测信号的样本协方差矩阵具有奇异性，这使得ICA去噪算法中的白化处理步骤无法进行。
But in the very low SNR circumstance, because of the covariance matrix of the observed signals being singularity, the ICA denoising method can not be used.
这种方法不同于传统的统计方法需要计算样本协方差矩阵的逆矩阵，而是基于阵列数据的一种直接计算方法。
This approach, unlike the conventional statistical techniques requiring for a covariance matrix of sample, is based on direct spatial processing of the array data.
这种方法不同于传统的统计方法需要计算样本协方差矩阵的逆矩阵，而是基于阵列数据的一种直接计算方法。
This approach, unlike the conventional statistical techniques requiring for a covariance matrix of sample, is based on direct spatial processing of the array data.
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