HGLSA4

说明：  KL变换的人脸识别算法，matlab编程。(face recognition based on K-L.)

Image enhancement for gray sacle images

matlab神经网络的应用和分析，很好用的 对bp的学习是中帮助(matlab neural network application and analysis)

Matlab 的基础功能说明，对入门有帮助。推荐看看基本原理，矩阵运算，数组运算，矩阵函数，信号处理和多项式，绘图，控制流(The basic function of Matlab instructions for beginners help. Recommend a look at the basic principles of matrix operations, array operations, matrix functions, signal processing and polynomials, graphics, control flow)

支持向量机导轮，让你对svm有更进一步的理解，(Support Vector Machines guide pulley, so that you have a better understanding of SVM,)

1、工具箱：LS_SVMlab Classification_LS_SVMlab.m - 多类分类 Regression_LS_SVMlab.m - 函数拟合 2、工具箱：OSU_SVM3.00 Classification_OSU_SVM.m - 多类分类 3、工具箱：stprtoolsvm Classification_stprtool.m - 多类分类 4、工具箱：SVM_SteveGunn Classification_SVM_SteveGunn.m - 二类分类 Regression_SVM_SteveGunn.m - 函数拟合(1、Classification_LS_SVMlab.m 2、Classification_OSU_SVM.m 3、Classification_stprtool.m 4、Classification_SVM_SteveGunn.mRegression_SVM_SteveGunn.m )

to find pitch record and play signal

matlab的一套图像处理程序，很有参考价值(Matlab set image processing procedures of great reference value)

在matlab环境下读取两个txt文档中的内容，并实现两个内容的相似性比较(compare with two groups of int number)

该代码实现了以2为因子的图像升采样和降采样功能。 降采样包括使用平滑滤波器(with using the averaging filter)和不使用平滑滤波器(without using the averaging filter)两种方法。 升采样包括像素点直接复制(pixel replication method)和线性插值(bilinear interpolatoin method)两种方法。 降采样方法和升采样方法共有4种组合。程序运行后，给出了一个原始图片和四个结果图片。 图片1.原始图片。 图片2.平滑滤波器降采样&像素点直接复制升采样。 图片3.平滑滤波器降采样&线性插值升采样。 图片4.不使用平滑滤波器降采样&像素点直接复制升采样。 图片5.不使用平滑滤波器降采样&线性插值升采样。 (The code to achieve a 2-factor image upsampling and downsampling function. Down-sampling (with using the averaging filter) and do not use smoothing filter (without using the averaging filter) are two ways to use the smoothing filter. Upsampling including the pixels copied directly (pixel replication method) and linear interpolation (bilinear interpolatoin method) two methods. Down-sampling method and liters a total of four combinations of sampling methods. The program is running, it shows a picture of an original picture and four results. Picture 1 original picture. Photo 2. Smoothing filter downsampling & the pixel directly copied liter sample. Photo 3. Smoothing filter downsampling & the linear interpolation liter sampling. Picture 4. Smoothing filter down-sampling & the pixels directly copied liter sampling. Picture 5. Use smoothing filter down-sampling & the linear interpolation liter sampling.)