PowerElectronics

关于小波水印的matlab源码，对于图像处理中的分类识别学习者有着很大帮助。分享快乐！()

LDA是人脸识别中比较基础的一个算法，在人脸识别中使用较广(Comparison of LDA in face recognition are based on an algorithm used in face recognition broader)

this book includes basic of ofdm and MIMO ofdm including thier matlab code...thnx

量子遗传算法MATLAB源代码，内含多个子文件，测试时运行main文件即可(Quantum genetic algorithm MATLAB source code that contains multiple sub documents, test documents can be run main)

Matlab手册，涉及功能比较广，而且有例子，适合入门。(Matlab manual, involving broad features, and examples of suitable entry.)

模式向量维数太大，无法进行模式识别,降维 (k-l)

README.TXT (this file) CLOUD_ARRAY.TIF is a synthetic test image. It contains a 5x5 pattern of identical, regularly-spaced cartoon clouds. This represents an ideal field of view in XY coordinates in order to study the effect of scanner field of view distortion. MODEL_LIDAR_AND_VALIDATE_TFORM.M is the MATLAB program. NOTE: This is a function M-file with a number of subfunctions inside. Refer to the comment lines for detailed explanation of how the program works.( Some images are geometrically distorted due to optics others due to nonuniform or curvelinear scan coordinates. Such distortions can be corrected using spatial transformations given the governing distortion geometry. This program demonstrates how to correct for nonuniform polar scan distortion using spatial transforms in MATLAB with the Image Processing Toolbox 3.1.)

聚类的一个工具箱 挺好用的 ，推荐大家用一下(the clustering toolbox， it is very useful)

洗衣机的模糊控制。分3个部分： 1：污泥和油脂隶属函数设计仿真程序； 2：洗涤时间隶属函数设计仿真程序； 3：洗衣机模糊控制系统仿真。(Fuzzy Control washing machine. Of three parts: 1: sludge and grease membership function design simulation program 2: washing time membership function design simulation program 3: Washing fuzzy control system simulation.)

1. 按照式计算相似性矩阵 2. 排除自身的相似度 3. 按照式计算归一化矩阵 4. 按照式计算归一化拉普拉斯图矩阵L 5. 计算L的特征向量，将前个特征值最大的向量按列放置成一个矩阵，即依次为前个特征值最大的特征向量 6. 归一化X形成矩阵Y 7. 对矩阵Y按每行为一个数据点，进行k-means聚类，第行所属的类就是原来所属的类。(1. similarity matrix based on formula computation 2. rule out your own similarity. 3. normalized matrix based on formula computation 4. normalized formula Laplasse matrix L according to formula. 5. Calculate the eigenvectors of L. Place the vectors with the largest eigenvalues in columns into a matrix, that is, the eigenvectors with the largest eigenvalues in turn. 6. normalized X formation matrix Y 7. K-means clustering is applied to matrix Y according to one data point per behavior. The first row belongs to the original class.)