matlab

matcom插件调用matlab里面princomp函数对数据进行处理的小程序(plug-ins inside matcom call matlab function princomp data processing applet)

hopping code in digital communication systems

机器人神经网络自适应控制，用于研究机器人控制算法，提供源码(Neural network adaptive control, robot control algorithm is used to study the robot, to provide the source code)

说明：  自己根据<最优化理论与基础>课本编的matlab程序 最优化问题求解: 牛顿法 自助输入目标函数及其梯度(Optimization: Newton Method Type in objective function and its gradient by yourself.)

对图像作直方图均衡化处理，列出原图像直方图与均衡后图像的直方图的对照；灰度级的转换调试(For histogram equalization of image processing, listing the original image histogram and histogram equalization contrast gray-scale conversion of debugging)

NIT工具箱二重积分matlab工具箱matlab代做(NIT toolbox matlab toolbox matlab doing some double integrals)

MATLAB code on linear minimum mean square error (LMMSE) estimation and its application to the problem of channel equalization in digital communication systems. amr amin: code on the application of channel equalization in digital communication systems.

自己写的用Matlab模拟一个缓冲区大小（包括正在服务的那个）为10的随机排队系统。 （1）到达过程是的泊松过程（到达速率为Mu），服务时间服从独立指数分布（均值为1/Lamda）。 对Mu//Lamda=0.2，Mu//Lamda=0.8和Mu//Lamda=1.1三种情况进行仿真，求出队列中接受服务用户为n的概率P(n), n=0,...,10。并与理论结果进行比较。 （2）假设到达过程为均匀过程（到达速率为Mu），服务时间服从独立瑞利分布（均值为1/Lamda）。(yourself writing a simulation using Matlab buffer size (including services that are) for the following 10 Machine queuing system. (1) arrival process is the Poisson process (arrival rate of Mu), submit to independent service index distribution (mean of 1/Lamda). Right Mu// Lamda = 0.2, Mu// Lamda = 0.8 and the Mu// = 1.1 Lamda three of the simulation, Queue calculated users receive services n the probability P (n), n = 0 ,..., 10. And with the theoretical results. (2) It is assumed that the arrival process for the uniform process (arrival rate of Mu), submit to independent service Rayleigh distribution (mean of 1/Lamda).)

This function calculates discrate fourier transform for vector using the "Fast" method . (recursion )

Some logic stuff. for example Recursive Pi calculation. Part of Thesis at the TH-Nuernberg