New-Text-Document-(3)

matlab的帮组文档，详细，是学习matlab的好材料(matlab' s help set the document in detail, is a good material to learn matlab)

This is implementation of culver filter

ma84g564芯片烧录助手。。。。。。。。。。。。。。。。(ma84g564 chip Burning assistant。。。。。。。。。。。。)

理发店的服务过程仿真 一个理发店有两位服务员A和B顾客随机地到达该理发店,每分钟有一个顾客到达和没有顾客到达的概率均是1/2 , 其中60 的顾客理发仅用5分钟,另外40 的顾客用8分钟 . 试对前10分钟的情况进行仿真。(Service process simulation of a barber shop barber shop attendant A and B, there are two customers arrive at the barber shop randomly, every minute a customer arrives and there is no probability that the customer arrives are 1/2, where only 60 of the customers Barber five minutes, another 40 of customers with 8 minutes. trial for the first 10 minutes of the simulation.)

连续信号在各种方法下叠加噪声后的图像分析及simulink仿真模块(After continuous noise signal superimposed image analysis and simulink simulation module in a variety of ways)

说明：  对高速运动目标采用基于kalman filter进行预测。基于matlab的实现，来进行运动目标的轨迹预测。有卡尔曼算法，扩展卡尔曼滤波，数据拟合方法。(The high-speed moving target is predicted based on Kalman filter. Based on the realization of MATLAB, the trajectory prediction of moving objects is carried out. There are Kalman algorithm, extended Kalman filter, data fitting methods.)

clear all clc t=0:1/1000:10-1/1000 s=sin(2*pi*t) snr=20 s_power=var(s) varience of s linear_snr=10^(snr/10) factor=sqrt(s_power/linear_snr) noise=randn(1,length(s))*factor x=s+noise Ó É SNR¼ Æ Ë ã Ë æ » úÔ ë É ù x1=noise Ô ë É ùÔ ´ Ê ä È ë x2=noise w1=0 È ¨Ï µ Ê ý ³ õ Ö µ w2=0 e=zeros(1,length(x)) y=0 u=0.05 for i=1:10000 LMSË ã ·¨ y(i)=w1*x1(i)+w2*x2(i) e(i)=x(i)-y(i) w1=w1+u*e(i)*x1(i) w2=w2+u*e(i)*x2(i) end figure(1) subplot(4,1,1)

神经网络30个案例分析源码，又名智能控制30个案例分析,案例二，遗传算法改进的BP神经网络拟合(30 case studies of neural network source code, also known as intelligent control 30 case studies, case two, GA improved BP neural network fit)

基于定义法的计算最大李雅普诺夫指数程序。。给出了一个lorenz系统的例子..(Based on the definition of the method of calculation of the largest Lyapunov exponent procedures. . Gives the example of a the lorenz system is the ..)

基于fft的匹配追踪算法，且ff与tMATLAB中自带的源程序不尽相同(Fft-based matching pursuit algorithm, and ff the source code comes with tMATLAB in different)