U_avg

This MATLAB code is an example of how to train the GCRF model described in "Learning Gaussian Conditional Random Fields for Low-Level Vision" by M.F. Tappen, C. Liu, E.H. Adelson, and W.T. Freeman in CVPR 2007. If you use this code in your research, please cite this paper

基于高斯滤波器的图像压缩算法。可以处理真彩图和灰度图，相当实用。(Gaussian filter based on image compression algorithms. Can handle true color pictures and grayscale, quite useful.)

MATLAB的GUI制作例子，用MATLAB7.0打开.(MATLAB GUI examples produced using MATLAB7 open.)

说明：  本文件实现了yuv视频的运动矢量提取，其中运动矢量估计采用了不同的估计算法，最后还可以画出运动矢量图。(This document implements the yuv video motion vector extraction, in which motion vector estimation algorithm using different estimates and, finally, to draw the movement vector.)

说明：  system initialisation in matlab

说明：  RANSAC的MATLAB工具包，MATLAB下实现了多种SAC算法(GML RANSAC Matlab Toolbox v 0.1)

以正弦波信号为例，对其进行信源编码、译码，循环信道编码(a sinusoidal signal as an example, its source coding, decoding, channel coding cycle)

用于图像识别和特征提取时的主成分分析程序，采用Matlab编写。(for image recognition and feature extraction of principal component analysis procedures, the preparation of Matlab.)

it is nonlinear method for blind source seperation using matlab

此代码应用于将xml文件转换为mat文件。在图像的目标识别时我们需要获得一些图像的点坐标。但是通过label me。我们只能获得xml文件的形式，这样我们就需要将xml文件转换为mat文件。方便在matlab的语言环境中进行处理(This code is used in the xml file into mat file. When the target image recognition we need at some point in image coordinates. But by label me. We can only get in the form of xml files, so we need to convert the file to mat xml file. Facilitate processing matlab language environment)