Rayleigh

DVCPro parser/decoder

For location of fault in transmission line

TIN是一种常用的数字高程模型表示方式，这里是Delauney TIN 生成的源码.c(TIN is a regular and efficient represention of digital elevation mode, here is the code for creating delauney triangulate irregular network)

MATLAB在通信仿真中的应用以及多种信号源的仿真(Matlab-based simulation of multi-function communication signal)

支持向量机的Matlab源代码,虽然有点简单，但可以用来参考。请大家多多支持(Support Vector Machines Matlab source code, though a bit simple, but can be used for reference. Please support)

在matlab环境下实现对MP3文件的读写，(read the MP3 in the matlab)

QAM和OFDM两种方式性能对比，具有图形界面GUI，并且包括收发两端完成的代码 (QAM and OFDM performance comparison of two ways, with a graphical interface GUI, and includes the sending and receiving ends to complete the code)

calssification algorithm

将core.txt文件放在C盘根目录下,然后打开matlab，点击“文件”-“打开”选中main.m文件，“运行”这个文件。 命令窗口马上就会显示出运行结果。 mm_Red.m为封装的盲目约简算法.返回值为约简结果. sxzyd_Red为封装的基于属性重要度约简算法.返回值为约简结果. bsjz_Red为封装的辨识矩阵约简算法.返回值为辨识矩阵和约简结果. cal_sig为封装的求属性重要度的函数。 max_min为封装的求属性度最大，划分个数最小的属性的函数。 dele_max为封装的删除属性度最大，划分个数最小的属性的函数。 mycore.m为封装的求核函数. myind为封装的求划分的函数. ind_E_a为求每个属性的划分的函数.(Files on the core.txt to the C root directory, then open matlab, click on " File" - " Open" main.m file is selected, " Run this file. The command window is displayed immediately run results. mm_Red.m the package blindly reduction algorithm. return value reduction results. sxzyd_Red degree reduction algorithm based on attributes important to package the return value is the result of the reduction. bsjz_Red matrix reduction algorithm for the identification of the package. return value identification matrix and reduction results. cal_sig package attribute importance to the function. max_min demand for the package attribute degrees largest division of the function of the minimum number of attributes. delete attribute degrees dele_max package is the largest division of the function of the minimum number of attributes. mycore.m seeking nuclear function package. myind package and by function. ind_E_a for the sake of each attribute divided function.)

In point set analysis, it is useful to compare 2 sets of points by computing the distance between each possible point pair. For example, this is a required step in the ICP point set registration algorithm. MATLAB s built in function for computing the distance matrix is pdist2. This function does the same thing, but also returns an angle matrix, which is the angle defined by each possible point pair. The limitations of this function are that it only computes the Euclidean distance and it only works in 2D. This function is useful for excluding hypotheses that don t match distance and orientation constraints for object detection in computer vision.