gaosilvbo

人耳识别，包含图像预处理，图像特征点的提取，比较实用(Ear recognition)

1、对观测数据进行中心化，； 2、使它的均值为0，对数据进行白化—>Z； 3、选择需要估计的分量的个数m，设置迭代次数p<-1 4、选择一个初始权矢量（随机的W，使其维数为Z的行向量个数）； 5、利用迭代W(i,p)=mean(z(i,:).*(tanh((temp) *z)))-(mean(1-(tanh((temp)) *z).^2)).*temp(i,1)来学习W （这个公式是用来逼近负熵的） 6、用对称正交法处理下W 7、归一化W(:,p)=W(:,p)/norm(W(:,p)) 8、若W不收敛，返回第5步 9、令p=p+1，若p小于等于m,返回第4步 剩下的应该都能看懂了 基本就是基于负熵最大的快速独立分量分析算法(1, on the center of the observation data, 2, making a mean of 0, the data to whitening-> Z 3, select the number of components to be estimated m, setting the number of iterations p < -1 4, select an initial weight vector (random W, so that the Z dimension of the row vectors of numbers) 5, the use of iteration W (i, p) = mean (z (i, :).* (tanh ((temp) ' * z)))- (mean (1- (tanh ((temp)) ' * z). ^ 2)).* temp (i, 1) to learn W (This formula is used to approximate the negative entropy) 6 with symmetric orthogonal treatments W 7, normalized W (:, p) = W (:, p)/norm (W (:, p)) 8, if W does not converge, return to step 5 9 , so that p = p+1, if p less than or equal m, return to step 4 should be able to read the rest of the basic is based on negative entropy of the largest fast independent component analysis algorithm)

一个选择模板的匹配方式，附带视觉标定,可以自由的选择模板进行匹配(A matching pattern of selected templates with visual calibration)

以实例列举了MATLAB中常用的图像处理函数的代码(Examples are given to illustrate the image processing functions commonly used in MATLAB code)

estimate shape of a noisy image from the shading information

自适应随机共振算法实现,具体内容注释中会有解释.(Adaptive stochastic resonance algorithm, the specific content of the Notes will be explained.)

基于LSB的隐写算法，以及基于猫脸变换的图像隐写改进算法。(The steganography algorithm based on LSB and the image steganography based on cat face transform.)

先将字符串转化为像素图，再将像素图还原成二维数组。将二位数组转化为布尔数组。然后用一个顺序结构，第一帧放入比较程序，即显示汉字并闪烁程序。第二帧循环移位程序。第三帧屏幕关闭程序。(First string into a pixel map, and then reduced to a two-dimensional array of pixel map. The two-digit group into a Boolean array. Then a sequential structure, comparing the first frame into the program, the program that displays characters and flashes. The second frame cyclic shift procedure. The third frame of the screen to close the program.)

信号进行EEMD分，作为希尔伯特黄变换的基础(try to decompose signal using EEMD，which as the Hilbert Huang Transtion basis)

混合输入输出相位恢复算法的小程序，入门学习(HIO phase recovery algorithm small program, learning portal)