MATLAB

说明：  图像复原--数字图像处理--matlab程序(Image Recovery- Digital image processing- matlab program)

基于曲率尺度空间（CSS）的图像边缘特征点检测matlab程序。(Detection matlab program based on curvature scale space (CSS) image edge feature points.)

《数字信号处理》（程佩青第３版）课后上机实验的程序(" Digital Signal Processing" (Cheng Peiqing version 3) experiment on the computer after school program)

Chebfun找到一个类似的问题已经解决了别人使用作为一个模板。这一页将你们连接到几十个这样的模板,称为Chebfun例子。每一个例子是一个M-file生产文本和/或图形输出,执行,在大多数情况下,在少于5秒。你也可以执行的例子,用Matlab命令的出版得到一个包含更多的信息的故事。一类开路(出版(“文件名”))去看在你的屏幕上最快的版本或出版(“文件名”)为一个更好的格式化乳胶版本,它将出现在一个目录叫做html。公布的产量也可直接下载作为一个pdf档案。(The quickest way to solve your problem with Chebfun may be to find a similar problem someone else has solved to use as a template. This page connects you to dozens of such templates, called Chebfun Examples. Each example is an M-file producing text and/or graphical output which executes, in most cases, in less than 5 seconds. You can also execute the example with Matlab s PUBLISH command to get a more informative story. Type open(publish( filename )) to see the quickest version on your screen or publish( filename , latex ) for a better formatted LaTeX version, which will appear in a directory called html. The published output is also available for direct download as a pdf file.)

用互相关法实现时延差估计，时延差是使用TDOA算法实现定位的关键步骤！！！(use cross correlation function to estimate the time delay，time difference is a very important parameter when using the TDOA algorithm to positioning！)

高频系数融合均采用基于像素点绝对值取大的规则，这里要注意的是，比较的对象是两幅原始图像的像素点的绝对值，而融合后图像的像素点的取值是两幅原始图像像素点绝对值大的那一点的值，也就是说，要取绝对值大的那个点的实际值

Implementation of morphological shape decomposition algorithm (image processing)

改进支持向量机在电信客户流失预测的应用论文(support vector machine for client discard)

Optical flow or optic flow is the pattern of apparent motion of objects, surfaces, and edges in a visual scene caused by the relative motion between an observer (an eye or a camera) and the scene.[2][3] The concept of optical flow was first studied in the 1940s and ultimately published by American psychologist James J. Gibson[4] as part of his theory of affordance. Optical flow techniques such as motion detection, object segmentation, time-to-collision and focus of expansion calculations, motion compensated encoding, and stereo disparity measurement utilize this motion of the objects surfaces and edges.[5][6]

这些程序是奥本海姆版数字信号处理书中全部常用的函数，非常方便大家使用。(These procedures are the Oppenheim book all commonly used digital signal processing function, and very easy to use. )