STXJC

China stock data format. fit to programmer

说明：  “Queuing network models for delay analysis of multihop wireless ad hoc networks

说明：  这里面是一个灰色预测模型的程序，在预测方面有着很重要的作用(There is a gray prediction model program, over the forecast has a very important role)

Matlab 复杂网络工具包，对复杂网络的研究有很大的重要性。(Matlab complex network toolkit for complex network research has great importance.)

建立了整车的6自由度模型，包括轮胎模型、车身模型、垂向力模型等(The 6DOF model of vehicle)

Direct torque control using fuzzy logic controller

极值分布的参数的极大似然估计，并绘图比较(Extreme value distribution parameters of maximum likelihood estimation, and drawing comparison)

采用8PSK调制，用因子图进行均衡，系统无编码，加性高斯白噪声(Using 8PSK modulation, equalization of factor graph, the system without coding, additive white Gaussian noise)

plot the eyediagram using Matlab tools

How to use the ordinary Voronoi partition generator. The m-files also have their own help documentation that you can view in Matlab. This code creates a bounding polygon that is a square. Then it randomly creates 10 points and then creates and draws the partition. bounds = [0, 10, 10, 0 0, 0, 10, 10] points = 10 * rand(2, 10) regions = voronoi(bounds, points) drawRegions(bounds, regions) ================================ This is a brief set of instructions on how to use the Multiplicatively- weighted Voronoi partition generator. Each of the m-files has a help section, so in Matlab you can call: help mwvoronoi help drawRegions Here is an example that creates a bounding polygon, a square with side length 10. Then it randomly creates six points with random weights. Finally, the code draws the resulting partition. bounds = [0, 10, 10, 0 0, 0, 10, 10] points = 10 * rand(3, 6) regions = mwvoronoi(bounds, points) drawRegions(bounds, regions) Enjoy!