My-Documents

线性加速度法计算单自由度体系地震时程反应(Single degree of freedom linear acceleration method Seismic Response System)

自己写的用Matlab模拟一个缓冲区大小（包括正在服务的那个）为10的随机排队系统。 （1）到达过程是的泊松过程（到达速率为Mu），服务时间服从独立指数分布（均值为1/Lamda）。 对Mu//Lamda=0.2，Mu//Lamda=0.8和Mu//Lamda=1.1三种情况进行仿真，求出队列中接受服务用户为n的概率P(n), n=0,...,10。并与理论结果进行比较。 （2）假设到达过程为均匀过程（到达速率为Mu），服务时间服从独立瑞利分布（均值为1/Lamda）。(yourself writing a simulation using Matlab buffer size (including services that are) for the following 10 Machine queuing system. (1) arrival process is the Poisson process (arrival rate of Mu), submit to independent service index distribution (mean of 1/Lamda). Right Mu// Lamda = 0.2, Mu// Lamda = 0.8 and the Mu// = 1.1 Lamda three of the simulation, Queue calculated users receive services n the probability P (n), n = 0 ,..., 10. And with the theoretical results. (2) It is assumed that the arrival process for the uniform process (arrival rate of Mu), submit to independent service Rayleigh distribution (mean of 1/Lamda).)

load flow newton rapson

通过h.264实现的baseline版本的视频编码，利用matlab实现，运行较为简单(Achieved through h.264 baseline version of the video coding, using matlab implementation, operation is simple)

被控对象为G(S)=400/（s*s+500s）,首先运行模糊控制器程序chap4_2.m,并将模糊推理系统保存在a2中，然后运行模糊控制SIMULIK程序。位置指令为0.5sin（10t）,simulink见chap4_3(Controlled object is G (S) = 400/(s* s+500s), first run the fuzzy controller program chap4_2.m, and stored in a2 fuzzy inference system, and then run the fuzzy control SIMULIK program. Position command is 0.5sin (10t), simulink see chap4_3)

matlab code for mp3files read and write

通过对高通滤波器的理解，通过matlab编程，实现了窗函数法高通滤波器滤波(Through the high-pass filter to understand, through matlab programming, achieve a high-pass filter window function filtering)

function [x,n] = stepseq(n0,n1,n2)

Our project is to describe the Brownian Motion and Geometric Brownian Motion. This project is to simulate the price shock. Then we use Geometric Brownian motion to describe the movement of shocks’ price. The program is produced by Matlab.(Application of Ito’s Lemma to a Stock Price Process)

Simulation Of Flat Fading Using MATLAB For Classroom Instruction*