57578856OMP

说明：  matlab应用越来越广泛。但如何与VC 结合来提高编程效率呢，本文提供的资料可以帮大家。(matlab application is more and more widespread. How but unifies with VC enhances the programming efficiency, this article provides the material may help everybody. )

CS 稀疏分解及信号的重建算法，分为随机测量和恢复。(CS sparse signal decomposition and reconstruction algorithm is divided into random measurement and recovery.)

牛顿插值的matlab实现,程序简单易懂,而且易于交流(Newton interpolation matlab achieve, procedures simple and easy to exchange)

kirchoff carrier equations matlab code

黄金分割法求极小，返回值fm为函数极小值，tm为极小值点，f为给定函数，t为函数变量，[a,b]为变量t的搜索区间(Golden section method is extremely small, the return value for the function fm minimum, tm for the minimum point, f for a given function, t for the function of variables, [a, b] for variable search interval t)

坦克不变矩的智能识别,压缩包有坦克的图像,对不变矩的学习非常有用.(Moment invariants of the intelligent recognition tanks, compression tanks packed with images of the moment invariants of study very useful.)

he files in this package comprise the Matlab implementation of a foreground segmentation algorithm based upon graph cuts, described in: Better Foreground Segmentation Through Graph Cuts, N. Howe & A. Deschamps. Tech report, http://arxiv.org/abs/cs.CV/0401017. The file extractForeground.m contains a sample function that will perform a complete foreground segmentation for static camera video. It uses a number of parameters, which are described in the documentation. An attempt was made to choose sensible default values, but they may need to be adjusted for some videos. More generally, the implementation in extractForeground.m is only a suggestion of how the graph-based segmentation might be used. The same approach can be applied with other (perhaps time-adaptive) background models. The key step is at line 113 of the code, once the deviation array has been created. The graph-cut segmentation can be applied similarly to a deviation matrix computed in any other way.

连续潮流计算 对不同网络进行电压稳定极限分析(OPF calculation)

ACF中包含两个m文件，一个是自协方差函数（可单独使用）。另一个是自相关函数计算，其调用autocov函数。(ACF contains two m files, one is self-covariance function (which can be used alone). The other is calculated from the correlation function, which calls autocov function.)

the theorem that the order of each subgroup of a finite group is a factor of the order of the group.