改进RLS校正算法

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)

matlab可以用来做小波变换的图像处理代码，可以用来做图像分割，融合。(matlab wavelet transform can be used to make the image processing code, can be used to make image segmentation, integration.)

计算机视觉和视觉测量中常用的椭圆拟合程序。用于视觉测量中的圆形标志点检测。(Computer vision and visual measurement of the ellipse fitting procedure used. Vision for the measurement of circular signs point detection.)

相机标定，对一副标定图像进行角点的提取，提取焦点依据Harris检测算法。(detecter corner Harris )

说明：  图像拼接部分的重要程序，绝对有用，毕设的东西(An important part of the image mosaic program, absolutely useful, complete set of things)

在VC6.0环境下，借助openCV函数库，对视频中的人脸进行检测，并实时跟踪，然后用Haar特征的分类器定位人脸，并检测瞳孔存在与否，提取关于眼睛的疲劳信息(In VC6.0 environment, with the aid of openCV function library, to detect human faces in video, and real-time tracking, positioning and use characteristics of Haar classifier faces, and examine the pupil existence, to extract the information about the fatigue of the eye)

《实用图像处理与分析》源代码是一套完全可执行的VC 界面源代码，界面内容除了图像的表示、读入、保存、彩色变灰度以外，还包括图像的2值化处理、微分变换、几何变换、彩色变换、参数测量、傅里叶变换、小波变换、Hough变换、模式识别、神经网络、遗传算法、图像压缩等功能，提供有近100个图像处理与分析函数的源代码，可用于图像处理的教学和科研。

解薛定谔方程，通过辛几何算法得到的辛格式(Solving the Schrodinger equation by symplectic algorithm Singh style)

本程序采用了特征线法计算管道阀门关闭时的水锤(This program uses a water hammer characteristic line method to calculate the pipe when the valve is closed)

可以将256色度级的图像转化为灰度图象，挺值得新手学习一下的，希望大家能喜欢(256 chroma level images can be converted to grayscale images, very worth novice to learn about, and I hope you like)