Cell_segmentation_tracking_new

说明：  matlab科学计算继续上传，一共10个章节，由浅入深，几乎包括了绝大部分的科学计算方法以及仿真。本人把部分算法做了优化，更为完善(matlab scientific computing continue to upload, a total 10 chapters, easy-to-digest, almost, including most of the scientific method of calculation and simulation. I have done a part of algorithm optimization, a more perfect)

矩量法求解半波阵子天线的matlab程序，给出了方向图和增益还有输入阻抗，结果正确，程序规范，程序在实验报告中。(Moment Method time around half-wave antenna matlab procedures, given the pattern and gain and input impedance, the result is correct, procedural norms, procedures in the test report.)

matlab实现的蓝底白字车牌定位程序，能有效定位蓝底白字的车牌区域。(Matlab blue bottom incorrect character license plate positioning program, can effective positioning blue background of "the license plate area. )

三电平三相桥式逆变器的SVPWM控制方式仿真（应用S函数）(Three-level three-phase bridge inverter SVPWM control simulation (Application S function))

VC与matlab接口，来实现小波分解，对于学习VC和matlab混合编程的有很大帮助！(VC and matlab interfaces to achieve the wavelet decomposition, for the study of VC and matlab programming mix of great help!)

matlab在科学计算中的应用的相关课件(matlab in scientific computing application courseware)

CODE FOR ROOT LOCUS EXPERIMENT

说明：  massive mimo multiwave

一个变步长仿射投影算法，包括论文及仿真代码，已调试通过(A variable step-size affine projection algorithm, including the papers and the simulation code, has been debugged)

NW小世界网络的构成原则为：从一个环状的规则网络开始，网络含有N个结点，每个结点向与它最近邻的K个结点连出K条边，并满足N>>K>>In(N)>>1。随后进行随机化加边，以概率p在随机选取的一对节点之间加上一条边。其中，任意两个不同的节点之间至多只能有一条边，并且每一个节点都不能有边与自身相连。改变p值可以实现从最近邻耦合网络(p=0)向全局耦合网络(p=1)转变。在p足够小和N足够大时，NW小世界模型本质上等同于WS小世界模型。 (NW constitutive principles of small-world networks: from the rules of a ring network, network with N nodes, each node is connected to the K node with its nearest neighbor K edges, and meet N > > K > > In (N) > > 1. Followed by randomization into the plus side, with probability p with an edge between a pair of nodes in a randomly selected. Wherein between any two different nodes at most only one edge, and each node can not have a side connected with itself. P value can be changed to achieve the transition from the nearest neighbor coupling network (p = 0) coupled to the global network (p = 1). When p is small enough and large enough N, NW small-world model is essentially the same as the WS small-world model.)