QAM000000

美国伊利诺伊大学MaYi博士做的广义PCA算法的源代码(Complete rewrite of the test_gpca function to use the generalized data generation function instead.)

信号源模块源程序,可以实现程序模块的实现，然后发生需要的程序(Source module source code, you can achieve the realization of the program modules, and the occurrence of the required procedures)

利用相关法进行系统辨识的matlab程序 包含m文件和simulink仿真图(System identification using the correlation method)

matlab实现图上需找最短路径的迪杰斯特拉算法，寻找任一点和其他点之间的最短距离，最终结果为最短路径度量矩阵和正序路由矩阵(matlab implementation on the map to find the shortest path Dijkstra algorithm to find the shortest distance between any point and other points, the final result is the shortest path metric matrix and positive sequence routing matrix)

对轴承故障振动信号的matlab小波分析程序，能完成对故障特征频率的提取(Of bearing fault vibration signals matlab wavelet analysis procedures, can finish on the fault characteristic frequency extraction)

说明：  该算法为基于CMAC与PID并行控制的SIMUlink仿真 用MATlab开发，能够管直接运行(The algorithm based on CMAC and PID control parallel simulation using Matlab Simulink development, be able to pipe directly to run)

randomly distribute Ue in Macro eNB

《最优阵列信号处理》的MATLAB程序，包括所有的章节的程序("Optimal array signal processing MATLAB program)

基于奇异值分解的图像压缩。分别给出了灰度及RGB真彩图的压缩代码。　　 (Based on singular value decomposition of the image compression. Are given respectively grayscale and RGB true color pictures of the compression code.)

说明：  SVM用于模式识别 整理别人的代码（原来的是英文）所得： kernel.m用于内积矩阵的计算 svcplot.m用于绘图 svm168.m是主程序 testlin.m是采用线形内积函数的支持向量机应用的 文件 testrbf.m是采用RBF内积函数的支持向量机应用 的 文件 每个文件中都有说明。 仿真平台matlab7.0, 仿真全部通过 将所有文件拷贝到work目录下（注意不要直接将上层文件夹直接拷贝到work目录下，若那样操作，必须在matlab的file菜单中的set path中设置相应的路径）。 打开matlab，在命令窗口中输入 testlin或testrbf 即可查看结果。 (SVM pattern recognition for collating other people's code (the original is in English) from : kernel.m plot within the matrix for the calculation svcplot.m for graphics is the main svm168.m testlin.m procedure is used linear plot function within the SVM application documents testrbf.m RBF is using plot function within the SVM applications each file documents were described. Matlab7.0 simulation platform, all through the simulation of all the documents copied to the work directory (not directly to the attention of the upper folder directly copied to w contex directory, as if the operation, Matlab in the file menu on the set path corresponding set the path). Open Matlab, in the command window or imported testlin testrbf can see the results.)