一个falsh播放器的例子

一个快速捕获屏幕的源代码-a rapid screen capture the source code

本代码是视频编码中运动估计的一种方法－三步搜索-This code is in the video coding motion estimation of a method- three-step search

大家一定要多指教多和我联系，记住我的的EMAIL，我们一起讨论-Please remember my email, and contact me, we can discuse together.

在TC下开发播放WAV文件的C源程序-developed under the TC players WAV files to the C source

mp3压缩工具lame-MP3 encode tool lame

多媒体CAI课件制作实用教程（朱仁成） -CAI courseware Practical Guide (Shurencheng) CAI courseware Practical Guide (Shurencheng)

Given Text has been convert to sound

跟踪基本框架，opencv编写，利用背景差分，质心法可以跟踪多个目标，并分配ID号，记录行动轨迹，可用于车辆道路等，大家可以参考学习下，效果有待改进，不同的视频会有不同的效果，需要调整参数，一起互相学习吧

一个很小的程序，能完成网络的点歌播放功能，用的是MIDAS中的SocketConnection联接。-a small procedure, the network will be completed parlors player, it was the MIDAS SocketConnection connectivity.

Particle swarm optimization (PSO) is a population based stochastic optimization technique developed by Dr. Eberhart and Dr. Kennedy in 1995, inspired by social behavior of bird flocking or fish schooling. Each particle keeps track of its coordinates in the problem space which are associated with the best solution (fitness) it has achieved so far. (The fitness value is also stored.) This value is called pbest. Another "best" value that is tracked by the particle swarm optimizer is the best value, obtained so far by any particle in the neighbors of the particle. This location is called lbest. when a particle takes all the population as its topological neighbors, the best value is a global best and is called gbest. Following is the steps of PSO: