OLDA

This code is filtering noise in image with median filter.

Digital signal processing using Matlab一書之範例程式(Digital signal processing using Matlab a book of examples of programs)

2007 关于WSNs的被EI检索的定位算法的文章十来篇.(2007 on WSNs retrieval of the EI article positioning algorithm to ten articles.)

估计类均值向量和协方差矩阵的方法。 类间离散度矩阵、类内离散度矩阵的计算方法 (Estimated class mean vector and covariance matrix method. Between-class scatter matrix, within-class dispersion matrix calculation method)

1,、设置变量和参量： 　　X(n)为输入向量，或称为训练样本 　　W(n)为权值向量 　　e(n)为偏差 　　d(n)为期望输出 　　y(n)为实际输出 　　η为学习速率 　　n为迭代次数 　　2、初始化，赋给w(0)各一个较小的随机非零值，令n=0 　　3、对于一组输入样本x(n)和对应的期望输出d，计算 　　e(n)=d(n)-X^T(n)W(n) 　　W(n+1)=W(n)+ηX(n)e(n) 　　4、判断是否满足条件，若满足算法结束，若否n增加1，转入第3步继续执行(, set the variables and parameters: X (n) is the input vector, otherwise known as the training sample W (n) for the weight vector e (n) for the deviation d (n) is the desired output y (n) is the actual output η is the learning rate n is the number of iterations)

运用LBM解得一个浓度方程的小程序，非常有用！解对流扩散方程，可以直接带入自己的！(Use LBM of or concentration of a small program, very useful!Convection diffusion equation, the solution can be directly into your own!)

matlab6.5图形图像处理一书中所有的源程序，按章节分开与书中对应，共有两百个左右(matlab6.5 a graphic image processing all of the source book, with separate chapters on the book counterparts, a total of about 200)

本程序利用 MIMO模型，对信道通信进行了仿真，希望对大家有用(This procedure models the use of MIMO, the communications channel simulation, in the hope that useful)

In machine learning, support vector machines (SVMs, also support vector networks[1]) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis. Given a set of training examples, each marked as belonging to one of two categories, an SVM training algorithm builds a model that assigns new examples into one category or the other, making it a non-probabilistic binary linear classifier. An SVM model is a representation of the examples as points in space, mapped so that the examples of the separate categories are divided by a clear gap that is as wide as possible. New examples are then mapped into that same space and predicted to belong to a category based on which side of the gap they fall on.

说明：  实现任意运动模糊图像的恢复问题中模糊角度的自动鉴别(Realization of automatic identification of motion blurred image angle)