Timer

用实例演示如何在matlab中调用c++，适用于初学者，很好的例子(With examples demonstrate how to call c++ in matlab for beginners, a good example)

抢答器的实现功能的仿真，使用MATLAB进行仿真运行(Responder achieve functional simulation using MATLAB simulation run)

2fsk的解调C语言实现，该程序实现2fsk的解调(2fsk demodulation C language, the program 2fsk demodulation)

Mean Shift 这个概念最早是由Fukunaga等人[1]于1975年在一篇关于概率密度梯度函数的估计中提出来的,其最初含义正如其名,就是偏移的均值向量,在这里Mean Shift是一个名词,它指代的是一个向量,但随着Mean Shift理论的发展,Mean Shift的含义也发生了变化,如果我们说Mean Shift算法,一般是指一个迭代的步骤,即先算出当前点的偏移均值,移动该点到其偏移均值,然后以此为新的起始点,继续移动,直到满足一定的条件结束. 用matlab实现mean shift算法仿真(Mean Shift the concept was first used by Fukunaga et al [1] in 1975 in an article on the probability density function estimation of gradient raised its original meaning, as its name implies, is the offset of the mean vector, where is the Mean Shift a noun, it refers to a vector, but with the Mean Shift the development of the theory, Mean Shift the meaning has changed, if we say that Mean Shift algorithm, generally refers to an iterative steps, namely, first calculate the current point Mean offset, move the shift points to its average, and then as a new starting point and continue to move until the end to meet certain conditions. realize using mean shift algorithm matlab simulation)

Tsai标定法的matlab实现 完成图像坐标到世界坐标的转换(Tsai calibration method to achieve the completion of the matlab image coordinate to world coordinate conversion)

IP锁定程序实例源码　ip focus program example recourse code (　ip focus program example recourse code )

基于 Matlab 的积分分离 PID 控制 算法及仿真 摘 要 MATLAB 是一种集数值计算、符号运算、可视化(flying car)

在视图中使用CWindowDC在整个窗口进行绘图，C++精选学习源码，很好的参考资料。(For drawing in the window using CWindowDC in the view, select learning C++ source code, a good reference.)

说明：  MATlab和GA的潜用，将GA的算法程序写到MATLAB里面，用于求解优化问题(MATlab and GA' s potential use, the GA algorithm program written MATLAB inside, for solving optimization problems)

使用MATLAB做图像处理，包括求灰度图、均衡化以及各种直方图，也可进行曲线拟合，求亮度曲面分布，和图像的均值与方差，便于学习(Use MATLAB to do image processing, including seeking grayscale, and a variety of histogram equalization, but also for curve fitting, seeking surface brightness distribution, and the mean and variance of the image, easy to learn)