covariance stationary process meaning in Chinese
协变平衡过程
协方差平稳过程
Examples
- The relationship of the spca , pca and kpca are established . according to the covariance stationary processes , spca arithmetic also has certain stability and convergent similar to pca arithmetic
由协方差平稳过程，得到谱主成分分析算法也有类似于主成分分析算法的稳定性和收敛性。 - In this thesis , based on principal component analysis ( pca ) , covariance stationary processes and spectral analysis theory of linear operator , spectral principal component analysis ( spca ) is put forward
在主成分分析的基础上，基于协方差平稳过程理论和线性算子谱分析理论，本文提出了谱主成分分析。 - If the covariance stationary processes are one dimension , for given data , covariance function and spectral density function can be estimated , and there is no need to select kernel function and its parameters
如果协方差平稳随机过程的状态是一维的，对给定的样本点，给出了协方差函数的估计和其对应谱(密度)函数估计，而不必选择核函数及其参数。 - We proof the covariance function of covariance stationary processes is equivalent with mercer kernel function . that is , the covariance function of covariance stationary processes is a mercer kernel function ; in reverse , for a given mercer kernel function , there exists a covariance stationary processes , and the covariance function corresponded to this covariance stationary processes is the given symmetry positive - definite kernel function . it means that the covariance function is equivalent to symmetry positive - definite kernel function
首先建立了协方差平稳过程的协方差函数与积分方程中对称正定mercer核函数的等价关系，即协方差平稳过程的协方差函数是对称正定mercer核函数，反过来，对给定的对称正定核函数，证明了存在协方差平稳过程，使得此协方差平稳过程对应的协方差函数恰好为给定的对称正定核函数，这说明协方差函数和对称正定核函数是等价的。