我编写的图像质量评价matlab例程

ds_ss_rakeDScdma的Rake接收(ds_ss_rake)

Matlab interface for the image segmentation algorithm of Efficient Graph-Based Image Segmentation Pedro F. Felzenszwalb and Daniel P. Huttenlocher International Journal of Computer Vision, 59(2) September 2004.

opertunistic relay selection for cooperative networks... fake only for down...

Matlab不仅具有强大的数值运算功能，也同样具有非常强大的二维和三维图形绘制功能，尤其擅长于将各种科学运算结果的可视化。计算的可视化可以将不直观的数据通过图形来表示，从而发现其中的内在关系。Matlab的图形命令格式简单，可以使用不同的线形，色彩、数据点标记和标注等来修饰(Graphic Design)

这个有中文注释，看得明白，本程序的性能已经达到较高水平，相参脉冲串复调制信号，MIT人工智能实验室的目标识别的源码,模拟数据分析处理的过程，滤波求和方式实现宽带波束形成。

Here we prove that as the tier number and path loss factor increases ,The SIR (Signal to Interference Ratio) also increases! Consider a cellular system with hexagonal cells & cluster size N.

扩展和无迹kalman滤波学习资料带matlab仿真(Matlab simulation of extended and unscented Kalman filter learning data band)

控制理论算法在采用状态反馈对目标进行控制时，往往忽略了时滞的存在。时滞往往存在于真实的系统中，而忽略时滞所设计的控制器在复杂的系统中可能会失效。本算法基于李雅普诺夫稳定性理论，以LMI的方式给出时滞系统的稳定性分析判据。(Time delay is widely existed in many engineering contrl systems whiile in many contrl theory and algothms time delay is ignored. This algorithm is given to analysis the stability of close- loop feedback time delay systems. And classical examples are given to demanstrate the effectiveness of this method.)

#include #include #include using namespace std; #define  innode 8  //输入结点数 #define  hidenode 14//隐含结点数 #define  outnode 1 //输出结点数 #define  trainsample 60000//BP训练样本数 class BpNet { public: void train(double p[trainsample][innode], double t[trainsample][outnode]);//Bp训练 double p[trainsample][innode];     //输入的样本 double t[trainsample][outnode];    //样本要输出的 double *recognize(double *p);//Bp识别 void writetrain(); //写训练完的权值 void readtrain(); //读训练好的权值，这使的不用每次去训练了，只要把训练最好的权值存下来就OK BpNet(); virtual ~BpNet(); public: void init(); double w[innode][hidenode];//隐含结点权值 double w1[hidenode][outnode];//输出结点权值 double b1[hidenode];//隐含结点阀值 double b2[outnode];//输出结点阀值

resolution matlab release