statistics.7z

this file creates a snake around the image

根据空时分组编码的特性及缺陷,考虑使用差分空时编码,该程序实现差分空时分组编码的性能仿真,是根据Space–Time Block Coding for Wireless一书的性能仿真(Space-time block coding according to the characteristics and defects, to consider the use of differential space-time coding, the program realize differential space-time block coding performance simulation is based on Space-Time Block Coding for Wireless book one of the performance simulation)

现代通信信号在matlab中的实现以应用程序(good)

通过matlab来调用fortran和c语言，其中有很多示例，是一本不可多得的外部程序调用的参考书(By matlab to call fortran and c language, there are many examples, is a rare procedure called an external reference)

Program for solving problem of propagation of a time-harmonic plane wave along the x-axis

matlab tracking source code to track a moving object on the scene by using centroid and rectangle method

MATLAB 矩阵运算的相关方法和说明。包含矩阵转置，矩阵加减乘除等等(MATLAB matrix processing code and description。)

This toolbox provides tools to create sophisticated MATLAB graphical user interfaces that resize gracefully. The classes supplied can be used in combination to produce virtually any user interface layout.

数据关联算法的matlab实现代码，主程序子程序都有，可以直接运行(Data association algorithm matlab code, main subroutine has, you can directly run)

说明：  （1）应用9×9的窗口对上述图象进行随机抽样，共抽样200块子图象； （2）将所有子图象按列相接变成一个81维的行向量； （3）对所有200个行向量进行KL变换，求出其对应的协方差矩阵的特征向量和特征值，按降序排列特征值以及所对应的特征向量； （4）选择前40个最大特征值所对应的特征向量作为主元，将原图象块向这40个特征向量上投影，所获得的投影系数就是这个子块的特征向量。 （5）求出所有子块的特征向量。 ((1) the application of 9 × 9 window of these images at random, a total sample of 200 sub-image (2) all sub-images according to out-phase into a 81-dimensional row vector (3) all 200 lines for KL transform vector, derived its corresponding covariance matrix of eigenvectors and eigenvalues, in descending order by eigenvalue and the corresponding eigenvector (4) a choice to 40 corresponding to the largest eigenvalue eigenvector as the PCA, the original image block to the 40 feature vectors on the projection, the projection coefficients obtained by this sub-block eigenvector. (5) calculated for all sub-block eigenvector.)