bipso

说明：  c++ 中使用 matlab 简单画图 开发为环境为vs2010(use matlab in c++)

有借鉴意义哦，这个有中文注释，看得明白，计算晶粒的生长，入门级别程序。( There are reference Oh, The Chinese have a comment, understand it, Calculation of growth, entry-level program grain.)

一维情况下用ＦＤＴＤ方法模拟电磁波的传播情况，加了吸收边界条件，用Ｃ和MATLAB混合编程，信号源是高斯脉冲(One-Dimensional FDTD simulation with the propagation of electromagnetic waves, plus the absorbing boundary condition, mixed with the C and MATLAB programming, the signal source is a Gaussian pulse)

MATLAB-C混合编程，在M文件中调用 C语言函数，对学混合编程的初学者有一定的帮助(MATLAB-C hybrid programming, the paper called M C language function, mixed programming for school beginners can help)

说明：  实现三次样条差值，与matlab实现的精度一样(Realize the difference between cubic spline, and the precision to achieve the same matlab)

使用matlab程序源码读取迷宫图象文件，并进行处理，成功走出了迷迷宫.此程序源码只能准确绘出只有一条路径的任意复杂迷宫 可直接使用。 (Matlab program source code to read the maze of image files, and processed successfully out of the fans maze. This program source code can only be accurately drawn to a path of arbitrary complex maze can be used directly.)

仿真程序：首先需要用一个随机发生器产生（0.1）内的均匀随机数，然后再将该序列映射到对应的幅度电平｛Am｝。然后将这个范围再分成4个相等的区间，这些子区间分别对应于4个信号比特的符号00，01，10，11。检测器观察到r=Am+n，并且计算r和4种可能传输的信号幅度之间的距离，它的输出Bm就是相应于最小距离的信号电平。Bm与真正的的传输信号幅度比较，差错计数器用来对检测器产生的差错计数。(Simulation program: first need to use a random generator (0.1) the uniform random number, then the sequence is mapped to the corresponding amplitude level {Am}. Then this range has been divided into four equal intervals, these sub-intervals corresponding to four signal bits of the symbol 00,01,10,11. Detector observed r = Am+ n, and calculate r and 4 possible transmission distance between the signal amplitude, its output corresponding to the minimum distance Bm is the signal level. Bm and the real rate of transmission of the signal comparison, error detection counter is used to generate the error count.)

mapwindow6的源码。对于学习提高非常有用(mapwindow6 source. Very useful for learning to improve.)

这是一个人关于，MATLAB转化为VC++能使用的，.dll文件的方法，很实用(This is a man on, MATLAB into VC++ can use,. Dll file method, it is practical)

program to detect detection of vehicle on road using learning of haar features