MATLAB-and-Excel

generates a biometric template from an iris in an eye image.

Basics of Matlab , vectors and arrays, matrix manipulation, workspace variables, inputs and outputs, plotting, and functions , xx xxx xxxxx

householder矩阵的数值分析及matlab实现(householder)

是图像修复，利用维纳滤波的方法实现的图像复原，自己编的程序(Image restoration )

hamming code simulation using matlab

报告第二部分给出了均衡器结构以及迫零均衡器和最小均方误差均衡器理论推导，第三部分 给出了均衡器的 Matlab 仿真；第四部分给出了两种均衡器的仿真结果及对比；附录给出了两种 均衡器的 Matlab 程序，总的程序，以及托普利兹矩阵与卷积作比较和自相关的计算。(The second part of the report gives the theoretical derivation of the equalizer structure and the zero-forcing equalizer and the minimum mean-square error equalizer. The third part gives the Matlab simulation of the equalizer. The fourth part gives the simulation results of the two equalizers And contrast; Appendix gives two kinds of equalizer Matlab program, the total program, as well as the comparison and autocorrelation of Toledith matrix and convolution calculations.)

多种图像边缘检测与分割处理,基于matlab实现。(A variety of image edge detection and segmentation processing, based on the realization of matlab.)

此为模式识别中Parzen窗法估计概率密度函数。 全部程序流程如下： 1、读取FAMALE.TXT文件把身高或体重给数组，并求x1的样本数N1和窗宽、体宽； 2、读取MALE.TXT文件把身高或体重给数组，并求x2的样本数N2和窗宽、体宽； 3、读取Test2.txt文件把对应的身高或体重给数组A并求A的样本数M； 4、利用Parzen窗法估计概率密度函数判别男女性别； 5、对本判别的错误率进行统计。 (This is the pattern recognition Parzen window method to estimate the probability density function . All program flow is as follows : 1 , read FAMALE.TXT file to height or weight to the array, and find the number of samples x1 N1 and window width , body width 2 , read MALE.TXT file to height or weight to the array, and find the number of samples x2 N2 and window width , body width 3 , read Test2.txt file to the corresponding height or weight requirements for the array A and A is the number of samples M 4 , the use of Parzen window method to estimate the probability density function of gender discrimination 5 , determine the error rate of the statistics . )

针对20个已知类别数据，前15个训练样本和带刺的5个样本，通过该程序可识别出待测的样本属于哪一类。(Data for the 20 known types, the first 15 training samples and barbed 5 samples can be identified by the program which type of samples tested.)

用MATLAB首先显示彩色图像，然后显示灰度化后的图像，再绘制直方图，直方图均衡化(MATLAB show color image first, and then according to gray image, to draw the histogram, the histogram equalization)