npc1

This function calculates corrected false nearest neighbour.

老外编的标准pso算法的matlab工具箱，该工具箱将PSO算法的核心部分封装起来，提供给用户的为算法的可调参数，用户只需要定义好自己需要优化的函数(计算最小值或者最大值)，并设置好函数自变量的取值范围、每步迭代允许的最大变化量(称为最大速度，Max_V)等，即可自行优化。(Part of the standard of foreigners pso algorithm matlab toolbox, the toolbox will be the core of the PSO algorithm package together to provide to the user adjustable parameters for the algorithm, users only need to define their own needs better optimization function (calculation of minimum or maximum value), and set a good function, since the range of variables, each iteration step the maximum allowable variation (known as the maximum speed, Max_V) and so on, can be self-optimizing.)

裕兴FC磁盘式学习机全功能自动DUMP卡带ROM软件源码!!!!!!!!!!!!!!!!!!!!!!!!!(Yuxing FC disk-based learning machine fully functional automatic cassette DUMP ROM software source code)

采用模糊PID控制进行阶跃响应，在第300个采样时间控制器输出加1.0的干扰。(The fuzzy PID control of the step response, in the first 300 sampling time the controller output increases 1.0 interference.)

说明：  基于MATLAB，实现乒乓球的定位运动跟踪(Based on matlab, tracking ping pong motion)

提取镜头参数数的matlab算法，利用棋盘格靶标照片能直接计算出相机内参数(Extraction of lens parameters of the matlab algorithm, using the checkerboard target photos in the camera can be directly calculated parameters)

将Pedro F. Felzenszwalb的 Efficient Graph Based Image segmentation 作者提供的c代码封装，提供了Matlab调用接口。 输入参数如英文所示。(offer the matlab code interface of pedro F. Felzenszwalb s efficient graph based image segmentation （image,sigma 0.8,k 300,min_size 100) )

VC++与Matlab混合编程的快速实现. 特别适用！！ ()

The This snisotropic diffusion tensor filtering package is a free (GPL) MATLAB program that implements the non linear 1D 2D and 3D image and signal processing algorithm. It features an easy-to-use user interface, and a computationally powerful algorithm.

由于显卡或者显示器的原因会出现实际输出的图像在亮度上有偏差，而Gamma曲线矫正就是通过一定的方法来矫正图像的这种偏差的方法.(Or because of the graphics display image will appear in the actual brightness of the output deviation, the Gamma correction curve is corrected by a certain method to the method of this bias image.)