And what with the covariance matrix?

这样的协方差矩阵？

How to plot contour of a covariance matrix of a gaussian distribution?

如何绘制一个高斯分布的协方差矩阵的轮廓？

The eigenvalue of covariance matrix can be used to separate signal from noise.

利用协方差矩阵的特征值。 能实现信号和噪声的分解。

The estimation of noise covariance matrix is based on iterative procedure in ML.

最大似然法采用了迭代的方法来估计噪声的协方差矩。

We can get the ellipticity and linearity from the eigenvalues of the covariance matrix.

由矩阵的特征值，求取椭圆率和线性因子。