OFDM_tutorial

最短路算法一例题， (The superior calculate way that incises a square body returns to row with the dynamic state )

1.实验目的：绘制分形图案并分析其特点。  2.实验内容：绘制Koch曲线、Sierpinski三角形和树木花草图形，观察这些图形的局部和原来分形图形的关系。  3.实验思路：利用函数反复调用自己来模拟分形构造时的迭代过程，当迭代指标n为0时运行作图操作，否则继续迭代(1. Purpose: Draw fractal patterns and analyze their characteristics. 2. Experiment: Draw Koch curve, Sierpinski triangle graphic flowers and trees, observe the relationship between the local and original graphics fractal graphics. 3. Experiment idea: using the function calls itself repeatedly to simulate the iterative process when the fractal structure, when the iteration index n is plotted 0:00 run, otherwise continue iterating)

本matlab程序用DFP法求解多元模型的最小值（给出初始点和精度要求条件）。(The matlab program using DFP method for solving the minimum multivariate model (given initial point and precision conditions).)

灰色预测，输入原始数据和要预测的个数，即可得到结果。(matlab code)

pso code used shortest path finding problem, write in the language of matlab.

对于我们电气专业的仿真而言，我们主要用到的可能是Simulink工具箱，SimPowerSystem工具箱。当然也有可能涉及到SimExtra工具箱。但主要是实用前两者来进行电力系统，电力电子和电机等方面的仿真。因此在进行这些仿真的时候，有一些基本的原则：(For our simulation of electrical expertise, we may be used in Simulink main toolbox, SimPowerSystem toolbox. Of course, there may relate to SimExtra toolbox. But mostly for the first two practical power systems, power electronics and motor and other aspects of emulation. Therefore, when conducting these simulations, there are some basic principles:)

说明：  通过Matlab编程，给定初始条件及PML边界条件，模拟VTI介质中地震波传播的波场快照。(The initial conditions and PML boundary conditions are given by programming with matlab.A snapshot of seismic wave propagation in VTI media is simulated.)

说明：  本程序使用matlab对ami码进行编程，希望大家通过它能对编码有所了解(the procedures for the use of Matlab programming code ami, we hope it right through coding understand)

说明：  matlab图像分割的实例，包括基于L*a*b空间的彩色图像分割，检测汽车目标，分水岭分割等程序源代码(matlab examples of segmentation, including those based on L* a* b color space, image segmentation, target detection vehicles, watershed segmentation source code)

optimization using matlab