speckle-noise

Robotics TOOLBOX The Toolbox provides many functions that are useful in robotics including such things as kinematics, dynamics, and trajectory generation. The Toolbox is useful for simulation as well as analyzing results from experiments with real robots. Have fun with the toolbox. It is self-explanatory and very (robotics) user friendly...see the robot.pdf

在线向量回归分析，有包涵一个例子和内定函数等(On-line vector regression analysis, there is an example of indulgence and unofficially functions, etc.)

利用背景预测方法进行弱小目标检测，取得了比较好的效果。是用源图像减掉了背景得到残差图像进行检测的(dim target tetection using background prediction method)

说明：  用于实现方块编码的代码,实现图象的编码,C++代码(Coding for the realization of the code box, realize the image encoding, C++ Code)

这里面有两个程序，两个都是采用4QAM调制。不过个人觉得第一个更容易懂，因为写的很有条理。我改的那个程序就是根据这个来的。 不过在这里面有个问题就是信道系数只能是由高到低，大家可以试试，改成[0.227 0.46 0.688 0.46 0.227]这个是老师给我的仿真中常用的信道系数，这个成为归一化信道，就是系数平方和为1. 第二个程序没有涉及到信道系数，但是这个程序当中，在128个子载波中，前后有32个空载波，这个在OFDM中也是经常用的，这样可以降低误码率。 (And there are two programs, two are based on 4QAM modulation. But personally feel that the first is easier, because the writing is organized. I changed that procedure is based on the past. However, there is a problem in that there is only channel coefficients from high to low, we can try and change into [0.227 0.46 0.688 0.46 0.227] This is the teacher gave me the simulation channel coefficient commonly used, this became normalized channel, is coefficient of the square and is 1. The second program is not related to channel coefficients, but this program which, in the 128 sub-carriers, the before and after the 32 air carriers, the in OFDM is also often used, which can reduce the error rate.)

本程序比较了LS(最小二乘）和最小均方误差准侧下OFDM信道估计的误码率，给出了LS及MESE实现的源程序，是信道估计初学者的理想参考资料(This procedure compares the LS (least squares) and minimum mean square error of quasi-lateral channel estimation of OFDM bit error rate, given the realization of the LS and the MESE source, channel estimation is the ideal reference for beginners)

Turbo编码 Matlab程序 以及另外一种编程方法(Turbo coding Matlab program and another programming method)

给出接收信号眼图及系统仿真误码率，快速扩展随机生成树算法，有PMUSIC 校正前和校正后的比较。( The received signal is given eye and BER simulation systems, Rapid expansion of random spanning tree algorithm, A relatively before correction and after correction PMUSIC.)

实现利用高斯分布聚类，即完成em算法，直接在matlab上运行，可以作图直观显示（二维数据）(Achieve Gaussian distribution clustering, complete em algorithm, running directly on matlab, you can visualize mapping (two-dimensional data))

说明：  使用单纯形算法整定pid参数的例程还可以(PID parameters tuning by simplex algorithm)