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PCA主成分分析算法用于人脸识别的例子。此算法是基于矩阵特征值的排序而提取出主要成分的。(PCA principal component analysis algorithm for face recognition example. This algorithm is based on the ranking of the matrix eigenvalue extracted principal components.)

闭包传递法的一个函数以及一个求最大生成树的函数,用于模糊聚类分析(matlab)(Closure of the transfer method for a function and a function of the maximum spanning tree for the fuzzy cluster analysis (matlab))

基于最小错误率的beyes判别方法 可以判别位置类别的变量(Beyes based on minimum error rate discrimination method can determine the location variable category)

倒立摆去追寻设定位置的仿真, 使用matlab7.1去写m-file(Inverted pendulum to trace the location of the simulation settings, the use of matlab7.1 to write m-file)

在matlab中可以调用的程序，用c语言编写，cuda求直方图(used in caculating histogram of color images , )

提出了一种可抗 几何攻击的二值文本图像水印算法. 该算法基于DCT,它将二值图像的DCT、图像的视觉特征向 量和加密技术有机结合起来,在提取水印时不需要原始图像,是一种实用的盲水印算法(We propose a geometric attacks against Binary Text Watermarking Algorithm. The algorithm is based on DCT, it binary image DCT, the image of the visual feature vector and encryption technology combine in the watermark without the original image is a practical blind watermarking algorithm)

Signal And System Lab_2

圆周卷积 循环卷积 MATLAB程序集CONV(circonv)

交通摄像头图像的机车目标分割与提取Matlab源代码(Traffic camera images locomotive object segmentation and extraction Matlab source code)

此为模式识别中的Fisher线性判别方法求分类器。进行了男、女错误率和总错误率的统计。 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的样本均值m1和内离散度S1； 2、读取MALE.TXT文件把身高或体重给数组，并求x2的样本均值m2和内离散度S2； 3、求最佳变换向量和阀值点； 4、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； 5、把最佳变换向量和阀值点、x代入判别方程g（x）； 6、对本判别的错误率进行统计。(This is the pattern recognition method, to calculate the Fisher linear discriminant classifier .Were male , female and total error rate error rate statistics . All program flow is as follows : 1 , read FAMALE.TXT file to height or weight to the array, and find the sample mean m1 x1 and internal dispersion S1 2 , read MALE.TXT file to height or weight to the array, and find the sample mean m2 and x2 within the dispersion S2 3 , for the best transformation vector and the threshold point 4 , read Test2.txt file to the corresponding height or weight requirements for the array A and A is the number of samples M 5 , the best transformation vector and the threshold point , x substituted into the discriminant equation g (x) 6 , determine the error rate of the statistics . )