Calendar-conversion

CC2530的定时器实验，使用IAR编写。(CC2530 key experiments, using IAR preparation procedures.)

VC与MATLAB之间的转换，通过设计可以在VC环境打开matlab代码(Conversion between VC and MATLAB open the matlab code in VC environment through design)

Optical Flow example

用虚拟机COM方式很慢.试试用这个吧,这个据说能提高十几倍哟.里面的read.txt文件我在VMWare中安装做了一下简要的中文说明. irpfind produces ~450KB/s traffic on VirtualBox and ~150KB/s on VMWare, significantly outperforming standard ~10KB/s COM Port(COM way using virtual machine is slow. Try it with this, this is said to increase more than tenfold yo. Read.txt document inside VMWare installed, I have done a brief description of the Chinese. Irpfind produces ~ 450KB/s traffic on VirtualBox and ~ 150KB/s on VMWare, significantly outperforming standard ~ 10KB/s COM Port)

文章有utd对爬行波进行循迹 给出微分几何算法 可在matlab 及vc来开发(Utd article has crawling wave of differential geometry tracking algorithm is given in the matlab and vc to develop)

说明：  研究VC++和MATLAB编程的朋友可以看看这个程序,希望对你们有用.(Those people who research the program by VC++ and MATLAB can load it,it will benefit to you)

一张图片是之前用摄像机采集的，另一张图片是经过离散沃尔什变换再量化编码压缩后又解压所得，能看出区别吗？呵呵。flik.m是原图，newflik.m是新图。 附上所有MATLAB源程序，有兴趣的话，你也可以用这几个程序对自己的照片“加工”一番。以下6个程序分别保存为6的m文件，文件名与下面给出的一致。待“加工”图片应该存放在Matlab的Work目录下。(Before a picture is collected by the camera, another picture is the result of discrete Walsh transform and then re-quantization coding compression decompression income, you can see the difference? Ha ha. flik.m is the image, newflik.m is a new map. MATLAB source code attached to all interested, you can also use these procedures on their own photo processing of something. The following six procedures were saved as 6 m file, the file name is given with the following consensus. To be processing picture should be stored in Matlab s Work directory.)

LMS三角定位迭代加权算法 LMS三角定位迭代加权算法 LMS三角定位迭代加权算法(LMS triangulation iterative weighting algorithm LMS triangulation iterative weighting algorithm LMS triangulation iterative weighting algorithm)

view dicom picture with C++

pattern classification, second edition, 中文版(pattern classification, second edition, chinese version)