使用支持向量机的目标识别

说明：  数据挖掘中经典算法的matlab代码，相当全面！(Classical data mining algorithm matlab code, quite comprehensive!)

计算logistic映射李雅普诺夫指数的matlab程序(calculated logistic mapping Lyapunov exponent of Matlab procedures)

基于matlab的人脸识别算法(PCA)(based on the matlab face recognition algorithm (PCA) )

Image comparison in a database based in grayscale histogram and using lloyd algorithm. (algo1 index image, algo2 compute the distance betwen two images, algo3 and algo4 make up all togheter)

这是一篇分析了几类非高斯噪音模型的文章，对每种模型都进行了细致的分析(This is an analysis of several kinds of non Gauss noise model of the article, for each model are analyzed in detail )

说明：  为了达到较好的隐藏效果，本文采用游程编码的方法在二值图像中隐藏信息。秘密信息嵌入时修改二值图像的游程长度，如果秘密信息为是0，则修改该游程长度为偶数；如果秘密信息的取值与游程长度的奇偶性相匹配，则不改变游程长度。提取时根据游程长度奇偶性提取出秘密信息。在信息隐藏时，改变游程的奇偶性时通过对下一个游程的第一个像素值进行修改，因此当下一个游程长度为1时通过改变当前有成的值实现。(In order to achieve better hiding effect, we use run length encoding method to hide information in two value images. When the secret information is embedded, the length of the travel length of the two value image is modified. If the secret information is 0, the length of the travel length is even even. If the value of the secret information is matched with the parity of the length of the run, the length of the journey is not changed. The secret information is extracted according to the parity of run length. In information hiding, changing the parity of the journey is modified by the first pixel value of the next run, so the current length is 1 by changing the current value.)

应用背景该代码是采用平稳小波变换进行多聚焦图像融合，从而获得一副清晰的图像，采用matlab编写，可以直接运行，带有一副示例图像，实验效果好。关键技术首先是SWT，SWT级平稳小波变换，是一种多尺度、多方向、时频局部的图像稀疏表示方法，广泛运行图像处理领域，而且还具有平移不变性，非常适合图像融合。对原图像进行SWT变换，获得低频子带和高频子带，然后针对不同频带，采用不同的融合规则进行融合。

this file is best cod efor simulation in matlab

魔方还原程序,主函数为Cube,采用CFOP，还原步骤为88步左右，底面十字未优化；采用留个3*3矩阵，前面为froo（数字3），后面为baa（数字-3），左面为leff（数字-2），右面为rigg（数字2），上面为upp（数字0），下面为doo（数字1），(Cube restore process, the main function of Cube, using CFOP, the reduction step is 88 steps or so, the bottom cross unoptimized adopt leave a 3* 3 matrix, in front of froo (figure 3), followed by the baa (figure-3), left the leff (digital-2), the right of rigg (figure 2), at the upp (number 0), following the doo (figure 1),)

ITD，NExT法，获取自由衰减响应，用于识别频率和阻尼比( ITD,NExT法，获取自由衰减响应，用于识别频率和阻尼比)