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很多MATLAB的无线系统仿真实例。强烈推荐！(A lot of MATLAB simulation of wireless systems. Strongly recommend!)

用matlab对一组向量进行排序和解决了行排序后，列随行走的问题。(Using matlab to sort a set of vector and resolution after the trip to sort out the problems with walking.)

”BP.m“文件是BP神经网络整个模型的源程序； “train.fig”是训练时最后得到的图片； “程序运行的人口数量原始数据.fig”是预测结果绘制的图； “程序运行时matlab命令窗口的内容.txt”是运行程序是在matlab命令窗口显示的东西； “程序运行完产生的数据.mat”是程序运行完毕产生的数据。 .bmp文件和.fig文件一样()

西安通信学院概率论课件，讲的很清晰，课件很全，不错的资料。后面还有习题课的讲解 。(Courseware probability Xi an Communication Institute, said very clearly, courseware is very wide, good information. There are explanations behind the recitation.)

this program is radix-4 fft for 64 point

用于求解matlab排序问题，求解得效率很高，比一般的方法好哦(Matlab for solving the scheduling problem, to solve a highly efficient method than the average好哦)

说明：  SC is a useful function for displaying rich image data, of use to anyone wishing to visualize and save 2D data in ways beyond that which MATLAB built-in functions allow. This function can be used in place of IMAGE, IMAGESC and IMSHOW, but does so much more. It is fast and displays images as they should be - correct aspect ratio, integer magnification, no axes. In addition, it can return the image as an output variable - useful for saving to disk, texture mapping surfaces, and post-rendering manipulation such as overlaying/combining two or more images.(SC is a useful function for displaying rich image data, of use to anyone wishing to visualize and save 2D data in ways beyond that which MATLAB built-in functions allow. This function can be used in place of IMAGE, IMAGESC and IMSHOW, but does so much more. It is fast and displays images as they should be- correct aspect ratio, integer magnification, no axes. In addition, it can return the image as an output variable- useful for saving to disk, texture mapping surfaces, and post-rendering manipulation such as overlaying/combining two or more images.)

说明：  IBR算法在图像匹配上的应用，我也在学习中(Image matching based on IBR)

自适应滤波程序，选用的是维纳滤波、最小二乘法、最陡下降法、均方最小二乘法等(Adaptive filtering process, the choices are the Wiener filter, least squares method, steepest descent method, mean square least squares method)

实现多输出的支持向量机回归，不需要对每一个输出都进行函数回归(Multi-output support vector machine regression，Each output does not need to be a function of the regression)