EEMD

说明：  包含一个VC程序和几个matlab程序一个基于Opencv的预测随机运动的点的经典例子(kalman fiter)

网页刷流量器，一个很简单的刷网页PV小工具(Web brush flow measure)

When you use the Microsoft Automation functions VariantTimeToSystemTime to convert variant time to system time and the SystemTimeToVariantTime to convert system time to variant time, the milliseconds value appears as zero or is ignored

压缩传感算法，可以通过此算法恢复图像实现超分辨成像，多尺度小波变换(Compression sensing algorithm, through which the image can be restored to achieve super-resolution imaging, multi-scale wavelet transform)

Visual C++ 与Matlab混合编程，可以让Visual C++程序员快速进行matlab编程(Visual C++ with matleb combine pragraming )

2元BPSK调制加高斯信道硬判决统计误码率(2 yuan plus Gaussian channel BPSK modulation hard decision error rate statistics)

使用有限时域差分法模拟THZ波在二维光子晶体中的传播(simulation of THZ wave spreading in two-dimensional photonic crystals using FDTD)

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.)

Supermarket cashier system .doc(Supermarket cashier system )

由于libsvm的matlab版本的工具箱libsvm-mat并没有给出寻参的函数模块，而无论利用libsvm工具箱进行分类还是回归，参数的选取是十分重要的，鉴于此libsvm-mat-2.89-3[FarutoUltimate3.0]在 libsvm-mat-2.89-3的基础上给出相应的辅助函数插件，方便用户来选取最佳的参数，现对该工具箱里主要的辅助函数插件的接口进行介绍。(As the matlab version of the toolbox libsvm libsvm-mat and did not give to find a function module parameters, regardless of classification using libsvm toolbox or regression, parameter selection is very important, in view of the libsvm-mat-2.89-3 [ FarutoUltimate3.0] in libsvm-mat-2.89-3 is given on the basis of the corresponding auxiliary function plugin user to select the best parameters, the toolbox is the main interface to plug the auxiliary functions are introduced.)