主要作为一维高斯过程拟合的实例，并讨论了不同超参数条件，不同协方差函数的表现-Primarily as a one-dimensional Gaussian process fitting examples and discuss the different super-parameters, the performance of different covariance functions

采用数字图像匹配技术，运用归一化协方差互相关函数，在原图中进行匹配-gital Image matching

函数实现矩阵的协方差矩阵求解，返回协方差矩阵即其列向量。-Function implementation matrix covariance matrix solver, that is, it returns the covariance matrix column vector.

编写MATLAB程序，产生协方差函数为C(τ)=9??^(?10|??| )的零均值平稳高斯过程，产生一条样本函数.测量所产生样本的时间自相关函数，将结果与理论值比较。(Procedures for the preparation of MATLAB produced C covariance function (tau) =9^ (- 10||) zero mean stationary Gauss process to produce a sample function. Measuring