Huffman-(1)

simple program in matlab for making zoom to an image

Eigenfaces: PCA tends to find a p-dimensional subspace whose basis vectors correspond to the maximum variance direction in the original image space (p  N). We called the new subspace defined by basis vectors “face space”. First, all training faces are projected onto the face space to find a set of weights that describes the contribution of each vector. Then we project all testing faces onto the face space to obtain a set of weights. Finally, we identify the face by comparing a set of weights for the testing face to sets of weights of training faces.

Matlab 控制示波器文档，matlab如何进行控制示波器，采集数据。分析数据。(matlab )

语音信号处理的端点检测程序，在编程中调用，很实用，值得你一看。(Endpoint detection)

ook调制代码，基于matlab的，经测试，完全正确。。。(ook modulation code, based on matlab, tested, completely correct. . .)

回归算法，输出回归方程系数，平方和，剩余平方和等。(Regression algorithm, the output coefficient of the regression equation, sum of squares, residual sum of squares and so on.)

三个简单地使用matlab实现的遗传算法的程序，为初学者提供一个入门知识(Three simple genetic algorithm matlab implementation of the program, to provide the knowledge of an entry for beginners)

matlab学习书籍，里面有详细的matlab入门学习资料(matlab learning books, which have started to learn detailed information on matlab)

Digital Image Auto Enhancement by using matlab program

说明：  一种最小二乘法的RBF网络 ---------------------------------- radical basis function neural network ------------------------------------------ clear all close all global sp k w2 b2 unitcenters alldatanum=400 traindatanum=300 testdatanum=100 sp=8 errorlimit=0.1 u=rand(1,alldatanum+10) y=zeros(1,alldatanum+10) for i=4:alldatanum+3 y(1,i)=1.5*y(1,i-1)*y(1,i-2)*y(1,i-3)/(3+y(1,i-1)+y(1,i-2)*y(1,i-2)+... y(1,i-3)*y(1,i-3)*y(1,i-3))+u(1,i)+u(1,i-1)+u(1,i-2) 。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。(radical basis function neural network ------------------------------------------ clear all close all global sp k w2 b2 unitcenters alldatanum=400 traindatanum=300 testdatanum=100 sp=8 errorlimit=0.1 u=rand(1,alldatanum+10) y=zeros(1,alldatanum+10) for i=4:alldatanum+3 y(1,i)=1.5*y(1,i-1)*y(1,i-2)*y(1,i-3)/(3+y(1,i-1)+y(1,i-2)*y(1,i-2)+... y(1,i-3)*y(1,i-3)*y(1,i-3))+u(1,i)+u(1,i-1)+u(1,i-2) 。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。)