frame-difference-method-

信道估计仿真，采用了多种方法：线性插值，MMSE，1惟MMSE,2维MMSE等(Channel Estimation 1 for non-block-wise linear interpolation, 2 for block-wise 1-D MMSE, 3 for non-block-wise 1-D MMSE, 4 for block-wise 2-D MMSE, 5 for non-block-wise 2-D MMSE, 6 for ideal channel estimator, 7 for random pilots map case using 2-D MMSE.)

matlab遗传算法工具箱，在编程时使用遗传算法时，可以直接用工具箱中的函数(matlab genetic algorithm toolbox, use genetic programming algorithm can directly use the toolbox function)

用matlab实现基于时间序列的最小二乘支持向量机预测，代码简单易懂，适合初学者使用(achieve the lssvm regression based on time series using matlab)

一个开源的matlab工具箱，给定一组由同一摄像机在不同角度拍摄的棋盘图像，可以实现这台摄像机的全自动标定校准(An open-source toolbox in Matlab for fully automatic calibration of close-range digital cameras based on images of chess-boards, Implemented by Valsamis Douskos, Laboratoty of Photogrammetry, Dept. of Surveying, National Tehnical University of Athens)

非常好的C#&matlab电子书，值得拥有(Very nice e-book <C# and Matlab>, you should get it)

说明：  用的逐步定线方法，在解决这个问题中并不是一个很有效的方法，我想最好的方法为Dijkstra，但Dijkstra编起来比较简单（已有源程序，只须改变权矩阵），没有再进行练习。 程序编制的比一些比赛论文中的要精细一些，但结果不是很好。(The progressive alignment method used in solving this problem is not a very effective way, I think the best way to Dijkstra, but it is relatively simple Dijkstra Code (has source code, just change the weight matrix), no further to practice. Programming than some games should be fine in a number of papers, but the results are not very good.)

五个经典matlab仿真实例，由易到难，初学者的学习法宝(Five classic matlab simulation examples, easy to difficult, for beginners to learn magic)

3 phase induction machine

无网格EFG一维matlab程序 可参见张雄无网格专著(Meshless EFG one-dimensional matlab program can be found in Zhang Xiong meshless monograph)

利用matlab变成实现聚类分析min1.m——求矩阵最小值，返回最小值所在行和列以及值的大小 min2.m——比较两数大小，返回较小值 std1.m——用极差标准化法标准化矩阵 ds1.m——用绝对值距离法求距离矩阵 cluster.m——应用最短距离聚类法进行聚类分析 print1.m——调用各子函数，显示聚类结果 (cluster analysis with Matlab min1.m min2.m std1.m ds1.m cluster.m print1.m)