three_phase_vsc

交通视频车辆监测源代码，没有统计车辆数目，使用者在代码中可以自行加上统计算法。(Traffic video vehicle monitoring the source code, and the vehicle number no statistics, the user is in the code itself with statistical algorithms.)

用HOUGH检测直线的时候是两个未知量,因为轴半径和相角可以确定一条直 线，在HOUGH域出现累计最大点就可能是原域中的直线。现在回到圆的检测 上来，确定一个圆需要什么：X坐标，Y坐标，半径三个未知量吧，好了，现在， 你做一个三维空间的HOUGH域，以这三个未知量作为三个轴，现在按照一定步长 进行三重循环，在最内层循环是这样的，X,Y 确定，以不同的半径进行搜索，如 果你的X,Y刚好就是实际图像的X,Y处，半径又搜索到实际真实的半径(The HOUGH detect straight when two unknown amount of axis radius and phase angle can be determined in a straight line, in the HOUGH domain cumulative maximum point may be the straight line of the original domain. Now back to the circle detection up to determine what a circle: X coordinate, Y coordinate, radius three unknowns, now, you do the HOUGH domain of a three-dimensional space, three to three unknown quantity as axis, in accordance with a certain step size triple loop, is such that in the innermost loop, X, and Y determined search for a different radius, If you X, Y, exactly is the actual image of the X, Y, at the radius radius of the search to the actual real)

说明：  完成了TD SCDMA基带物理层的开发过程从基带调整 到射频输出(Completed a TD SCDMA baseband physical layer to adjust the development process from the baseband to the RF output)

卡尔曼滤波器可以供给初学者很好的使用，欢迎下载。(Kalman filter will be available to a good use of beginners are welcome to download.)

改进后的离散粒子群算法，支持多种寻优解决方案(The improved discrete particle swarm optimization (pso), support for multiple optimal solutions)

说明：  学习使用matlab数学建模，包括了一些基本教程和经典的建模例子。(Learning to use matlab mathematical modeling, including some basic courses and classic modeling examples.)

This is a matlab code for segmentation part of the automatic number plate detection.

this is a matlab implementation for som network

同步小波变换的MATLAB程序和应用，还有最新的关于同步小波的文章(Synchronous wavelet transform MATLAB programs and applications, as well as the latest articles on synchronous wavelet)

A database of facial expression images was collected. Ten expressors posed 3 or 4 examples of each of the six basic facial expressions (happiness, sadness, surprise, anger, disgust, fear) [4] and a neutral face for a total of 219 images of facial expressions.