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SIFT特征匹配算法是目前国内外特征点匹配研究领域的热点与难点，其匹配能力较强，可以处理两幅图像之间发生的平移、旋转情况下的匹配问题(SIFT features matching algorithm is the hot matching algorithm of feature points at home and abroad . its matching ability is strong.It can match the feature points of two images which are rotated or traslation.)

This is a good example of brownian motion is cartesian coordinates. the results are illustrated

卡尔曼滤波轨迹跟踪target tracking using kalman(target tracking using kalman)

matlb摄像机校准用于测试的图像。标准的棋盘图像。(matlb camera calibration is used to test images. Standard chessboard image.)

Matlab, picture, example of impsnr function

说明：  newmark 简单方法 简单的示例 简单易懂(The newMark simple method simple example is easy to understand)

基于kalman滤波的信息融合程序，对理解kalman滤波原理有一定帮助(Kalman filter based on the information fusion process, for understanding the principle of kalman filter has a certain extent, help)

说明：  双树复小波程序，可以进行一维二维三维的去噪等功能。(Tree complex wavelet process can be one-dimensional two-dimensional three-dimensional noise reduction functions.)

this is matlab code to solve l1decode problem!!!

matlab snake matlab snake(matlab snake)