pca

在试验中编写程序实现了K均值聚类算法,K均值聚类的原理是：在训练样本中找到C个聚类中心，每个聚类中心代表一个类的中心。然后将样本归类到与其最近的聚类中心的那一类。 C的选择是通过先验知识或经验选取的。聚类中心是通过算法迭代求得的。(In the test preparation process to achieve a K means clustering algorithm, K means clustering principle is: in the training samples to find C a cluster center, each cluster center represents a kind of center. Then the samples are classified to the nearest cluster center with the type. C' s choice is a priori knowledge or experience through the selected. Cluster center is obtained through the iterative algorithm.)

matlab-Spectral Clustering

本matlab程序用于对泽尼克多项式的像差进行绘图(This matlab program is used to plot aberrations of Zernike polynomials)

最近邻插值,在图像处理中，对变换后的图像进行插值(Nearest Neighbour interpolating)

说明：  对一个由于相机水平移动而模糊的图像进行恢复(As the level of a moving camera, blurred image restoration)

应用simulink模拟数据分析处理的过程，(simulink UUU)

v_BLAST,空时分层编码，matlab(V_BLAST, u7A7A u65F6 u5206 u5C42 u7F16 u7801 uFF0Cmatlab)

可以用来解决磨床的建模问题，对加工工件应该采取何种加工策略给出了合理的解决办法(Grinder can be used to solve the modeling problem, which should be taken to the workpiece processing strategies, a reasonable solution)

Dcblurrinq Images Matrices, Spectra,and Filtering

拉普拉斯流型降维，降维后的点距与高维中的点距相一致(Laplace flow pattern dimensionality reduction, pitch and pitch high dimension after dimension reduction is consistent)