VC-and-Matlab-mixed-programming

粒子群优化算法计算出的PSS优化模型，为四机两区模型(PSS optimization model calculated by particle swarm optimization algorithm)

code example demonstrating Wildcard searching techniques

基于 Ma t l a b语言的遗传算法工具箱支持二进制和浮点数编码方式， 并且提供了多种选择、 交叉、 变异的方法。 通过具体实例对 Ma t l a b的遗传 算法工具箱的用法进行 了说 明介绍. 已通过测试。 (Binary and floating-point encoding genetic algorithm based on Ma tlab language toolbox support, and provides a variety of options, cross-variation method. Through concrete examples of the Ma tlab genetic algorithm toolbox usage instructions describe. Has passed the test.)

计算多速滤波器以及其优化算法和加快速率的提高(this program can help you improve the filter )

利用MATLAB计算图像盒维数的M文件。自己定参数。(Image box dimension calculation)

采用c++调用matlab写的一个sift算法，其中调用matlab只是使用其中几个函数。可以很准确的检测出sift特征点。(Using c++ to call a matlab write sift algorithm, which used to call only a few matlab function. Can accurately detect the feature points sift.)

卡尔曼滤波程序实现，非线性卡尔曼滤波，matlab程序(Nonlinear Kalman filtering, matlab program)

这篇文章是盲信号处理，因为是英文文章，所以大家看内容就好了。(Principal component analysis (PCA) is a mainstay of modern data analysis- a black box that is widely used but poorly understood. The goal of this paper is to dispel the magic behind this black box. This tutorial focuses on building a solid intuition for how and why principal component analysis works furthermore, it crystallizes this knowledge by deriving from simple intuitions, the mathematics behind PCA . This tutorial does not shy away from explaining the ideas informally, nor does it shy away from the mathematics. The hope is that by addressing both aspects, readers of all levels will be able to gain a better understanding of PCA as well as the when, the how and the why of applying this technique.)

在VC中对MATLAB进行调用的例子。简单地进行了一些设置说明(in VC called on MATLAB example. Simply to some Description)

利用vc和matlab混编，调试mex文件的方法。附带VC详细操作步骤以及C++源程序(use VC and matlab to debug code )