MatComTest

说明：  用于脑电信号的读取 具有预处理过程 及滤波(EEG is used to read with the pretreatment process and the filtering)

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.)

使用RDP的通道Channel API进行文件/剪贴板/数据通信(File/Clipboard/Data communication through RDP channel API)

在matlab中用复合梯形方法求二重积分(Seeking a double integral in matlab using the composite trapezoidal method)

说明：  一个函数int fun(int *s,int t,int *k),用来求除数组的最大元素在数组中的下标并存放在k所指的储存单元中(A function int fun (int* s, int t, int* k), for requirements in addition to an array of the largest element in the array subscript coexist on the storage unit referred k)

这是图论里面的一个定理，即Havel定理，它是用来判断一系列的度的序列能否组成一个简单图，在这儿我实现了它。(This is the inside of a theorem of graph theory, that Havel theorem, which is used to determine whether a series of sequences degrees to form a simple graph, here I realized it.)

一种新的改进的遗传编程，调用的子函数描述的很清晰，涵盖了经典遗传编程的所有步骤，方便大家的学习和参考(A new and improved genetic programming, call the subroutine described in very clear and covers all the steps of classical genetic programming, we facilitate learning and reference)

几个matlab程序 包括：计算任意相交区域面积和电场的仿真实现(Several matlab programs include: the intersection area and in arbitrary Simulation of the electric field)

说明：  正侧式条带式SAR的仿真程序，包含二维和三维，等高线显示(SAR simulation program )

这是有关综合实例——雷达工程数据的可视化与处理(This is the comprehensive example, the radar engineering data visualization and processing)