Msuanfaji

说明：  一个matlab mex 文件，可以用来在matlab程序中捕捉用户按下的特殊功能健：F1, ..., F12. 使用时，在你的应用程序的 KeyPressFcn的函数体里，是用wgfcnkey，根据其返回值，判断是否有功能健被按下。(a Matlab mex documents, in Matlab can be used to capture user proceedings of the special features? Kin : F1, ..., F12. When used in your application's function KeyPressFcn the body, is wgfcnkey, return value, determine whether there is any function Kin is pressed.)

通信系统中智能天线的自适应波束成形的功能实现算法(Communication system in smart antenna adaptive beamforming algorithm of function )

来自<Multiresolution gray-scale and rotation invariant texture classification with local binary patterns>,LBP，用于图像的纹理特征分析(From <Multiresolution gray-scale and rotation invariant texture classification with local binary patterns>,LBP, used for image textural feature analysis)

it gives some compresson tools in wireless communication engineering.

说明：  通过matlab对均匀光栅，切指光栅，取样光栅等各类光栅的反射特性进行仿真。(Matlab is used to simulate the reflection characteristics of all kinds of gratings, such as uniform grating, cut finger grating and sampling grating.)

实现两个稀疏矩阵相乘(效率高于早期的Matlab自带的程序)，Matlab编程 (SSMULT is a simple stand-alone MATLAB mexFunction that computes C=A*B where both A and B are sparse. It is typically faster and always uses less memory than C=A*B in MATLAB 7.4 (or earlier). Works on MATLAB 6.1 to the current version. Untested on earlier versions of MATLAB. It is a built-in function in MATLAB 7.6 and later for C=A*B when both A and B are sparse. )

matlab的入门教程和一些实例教程，希望对大家有帮助，免费下载(matlab course of entry, and some examples of course, we would like to help, free download)

this was my homework in the lesson "digital image processing" it compares my histogram programm with the matlab s original function imhist. i uploaded whole the material but you can find it completely in "ö dev1 rg.docx" my whole homework.

Lempel_Ziv信源编解码 含测试数据(Lempel_Ziv_Coder/Decoder test_data included)

一元线性回归中，主要计算拟合优度（相关系数平方）、计算标准误差、计算F统计量、计算截距的t统计量、计算DW统计量等，以及借助回归分析程序包计算回归系数并估计检验统计量。(A linear regression, the main computing goodness-of-fit (correlation coefficient Square), calculation of standard error, calculation of F statistic, t statistic calculated intercept, calculation of DW statistic, and by means of regression analysis package to calculate the regression coefficient and the estimation of test statistics.)