CSO

使用matlab编写三角形单元的有限元程序( the main code of this files is using matlab to calculate triangle element)

This tutorial is designed to give the reader an understanding of Principal Components Analysis (PCA). PCA is a useful statistical technique that has found application in fields such as face recognition and image compression, and is a common technique for finding patterns in data of high dimension. Before getting to a description of PCA, this tutorial first introduces mathematical concepts that will be used in PCA. It covers standard deviation, covariance, eigenvectors and eigenvalues. This background knowledge is meant to make the PCA section very straightforward, but can be skipped if the concepts are already familiar.

the compression of an digital image

此程序描述OFDM系统中多径衰落信道的仿真和实现，包含信道转移矩阵的计算和变换等(This procedure describes the OFDM system simulation and implementation of multipath fading channels, including the calculation and conversion channel transfer matrix, etc.)

Test insertion of an abstract method in a superclass.

用最近邻算法实现TSP问题，用matlab编程(The implementation of TSP problem with the nearest neighbor algorithm)

matlab与C++的混合编程，实现计算rice图像中的米粒个数。(matlab and C++ mixed programming, to achieve calculate the number of rice grain image.)

本资料包包含了系统的matlab建模用算法(This pack contains the system matlab modeling algorithm used)

关于电力系统状态估计的MATLAB的源程序，敬请参考，不负侵权责任(On the MATLAB power system state estimation of the source, please refer to, live tort liability)

实现模糊聚类分割的一些方法，以及一些编程代码供学习和复习。(To achieve some of the methods of fuzzy clustering segmentation)