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利用surf1函数绘制函数图形的三维光照图形，其中图形函数表达式为peaks(Use surf1 function to draw three-dimensional graphics of functional graphics, in which the graphical function expression is peaks)

用VC++实现给定位图的镜像，使用图像处理技术(with VC plans to mirror positioning, the use of image processing technology)

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)

旁瓣消隐技术在雷达中的应用,包括旁瓣消隐技术的解释(something for slb)

基于GEE平台，landsat影像的随机森立法土地覆盖分类(Land cover classification based on the random son legislation based on the GEE platform.)

两张图片合成实例，可类举

视频水印matlab源码，此为第五个压缩包，在水印领域的爱好者可以下载作为参考(Video Watermarking Matlab source, which is the fifth-compressed, Watermark in the field of lovers can download as a reference)

说明：  关于全变分的图像修复算法。。 。。 。。 。。 (On the whole variational image restoration algorithm. . . . . . . .)

对多目标航迹跟踪进行关联和融合,采用JPDA（联合概率数据关联算法）对目标跟踪(And the multi-target track tracking is combined and merged)

机器人视觉工具箱,有丰富的例程.进行视频监控,目标检测与跟踪有用.(Visual robot kit has a wealth of routine. To conduct video surveillance, target detection and tracking useful.)