MexDemo

在陀螺仪测试中，实现ALLAN方差法分析动态数据，得到五个主要参数(Gyroscope test to achieve the the ALLAN variance analysis of dynamic data, five main parameters)

仅供学习研究使用。对仿真主要特性、建模机制及仿真步骤进行了深入阐述，最后给出了在预测网络性能方面的一个应用实例。(For study and research use. The main characteristics, modeling and Simulation of mechanism and the simulation steps in detail, finally, an application example in the prediction of network performance.)

利用matlab模拟光纤中TE模的模式分布图。(Using matlab simulation model TE mode fiber distribution.)

vba程序，按顺序打开目录下文件，运行已有的宏。(vba procedures, in order to open the directory file, and run existing macros.)

NSIS jiemian仿酷狗安装包实例(Imitation cool dog package instance)

说明：   有一个长度为整数L(1<=L<=10000)的马路，可以想象成数轴上长度为L的一个线段，起点是坐标原点，在每个整数坐标点有一棵树，即在0,1,2，...，L共L+1个位置上有L+1棵树。 现在要移走一些树，移走的树的区间用一对数字表示，如 100 200表示移走从100到200之间（包括端点）所有的树。 可能有M(1<=M<=100)个区间，区间之间可能有重叠。现在要求移走所有区间的树之后剩下的树的个数。 输入： 两个整数L(1<=L<=10000)和M(1<=M<=100)。 接下来有M组整数，每组有一对数字。 输出： 可能有多组输入数据，对于每组输入数据，输出一个数，表示移走所有区间的树之后剩下的树的个数。(Has a length of integer L (1 &lt = L &lt = 10000) of the road, one can imagine a number line segment of length L, the starting point is the coordinate origin, each integer coordinate points in a tree, i.e. 0,1 , 2, ..., L total has L+1 L+1 positions on the tree. Now to remove some trees, tree removed by a range of digitally represented, such as 100 200 represents removed (inclusive) between 100 and 200 all the trees. There may be M (1 &lt = M &lt = 100) intervals, there may be overlap between the intervals. Now, after the number of trees require the removal of all remaining sections of the tree. Input: two integer L (1 &lt = L &lt = 10000) and M (1 &lt = M &lt = 100). Then there is an integer M groups, each with a pair of numbers. Output: there may be multiple sets of input data, for each set of input data, the output of a number indicating the number of the removal of all remaining sections of the tree after tree.)

Matlab interface for the image segmentation algorithm of Efficient Graph-Based Image Segmentation Pedro F. Felzenszwalb and Daniel P. Huttenlocher International Journal of Computer Vision, 59(2) September 2004.

vc和matlab的混合编程，很好很全的(vc and matlab programming mix, full of very good)

Detect circles with various radii in grayscale image via Hough Transform

用c编写的矩阵分解程序，对于不用 matlab的人来说，还是有一定用处(Prepared by c matrix factorization procedures, for people who do not have matlab, or there is some use)