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respdemo
matlab程序，演示了如何画出系统时域和频域的step相应(This demo shows how to plot the time and frequency responses)
- 2009-04-02 17:13:58下载
- 积分：1
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classpiddistb2
说明： 该程序在matlab-simulink环境下执行，名为classpiddistb2.mdl，(经典PID的扰动测试)，本人发前期发.m格式文件(NNPIDDistub2.m为神经网络动态pid抗绕程序)，本程序为前期程序的比较程序，已发于本人论文，可供借鉴和学习。(The program matlab-simulink environment, implementation, called classpiddistb2.mdl, (classical PID disturbance test), I made pre-made. M format (NNPIDDistub2.m for the neural network dynamic pid anti-around program), this procedure pre- The Comparative procedures have been made in my paper, for reference and learning.)
- 2010-04-28 22:08:12下载
- 积分：1
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exp
MATLAB codes for BPSK, QPSK, Differential BPSK, Pulse shaping and link budget calculation are uploaded
- 2014-01-23 18:11:39下载
- 积分：1
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FishMovement
Graphic Simulation the movement of swarm of fishes, using gravitational law
- 2009-11-21 02:27:04下载
- 积分：1
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bpsk
此程序为BPSK matlab仿真源代码，如有需要请谨慎下载(This program is BPSK matlab simulation source code, if necessary, download with caution)
- 2011-05-29 14:21:30下载
- 积分：1
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Satellite-Communications
卫星通信方向的经典书籍，丹尼斯罗迪的，相关方向的可以下载看下(Satellite communication direction of the classic books, Dennis Roddy, relevant direction can download facie)
- 2013-08-20 19:25:01下载
- 积分：1
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q
说明： GM（1，1）模型程序
可用于一般时间序列预测(GM (1,1) model program can be used for general time series prediction)
- 2009-04-08 18:34:59下载
- 积分：1
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kalmanfilter_useful
kalman filter 的入门程序 包括 m 文件和 simulink 仿真文件 对于初学者 入门是很好的资料 (both m files and simulink models are included, which will be very helpful, especially for newlearners. )
- 2011-01-15 07:25:01下载
- 积分：1
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irbleigs
IRBLEIGS: Finds a few eigenvalues and eigenvectors of a Hermitian matrix.
IRBLEIGS will find a few eigenvalues and eigenvectors for either the standard eigenvalue problem A*x = lambda*x or the generalized eigenvalue problem A*x = lambda*M*x, where A is a sparse Hermitian matrix and the matrix M is positive definite.
- 2010-03-03 14:55:51下载
- 积分：1
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lsm-rbf
说明： 一种最小二乘法的RBF网络
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radical basis function neural network
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clear all
close all
global sp k w2 b2 unitcenters
alldatanum=400
traindatanum=300
testdatanum=100
sp=8
errorlimit=0.1
u=rand(1,alldatanum+10)
y=zeros(1,alldatanum+10)
for i=4:alldatanum+3
y(1,i)=1.5*y(1,i-1)*y(1,i-2)*y(1,i-3)/(3+y(1,i-1)+y(1,i-2)*y(1,i-2)+...
y(1,i-3)*y(1,i-3)*y(1,i-3))+u(1,i)+u(1,i-1)+u(1,i-2) 。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。(radical basis function neural network
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clear all
close all
global sp k w2 b2 unitcenters
alldatanum=400
traindatanum=300
testdatanum=100
sp=8
errorlimit=0.1
u=rand(1,alldatanum+10)
y=zeros(1,alldatanum+10)
for i=4:alldatanum+3
y(1,i)=1.5*y(1,i-1)*y(1,i-2)*y(1,i-3)/(3+y(1,i-1)+y(1,i-2)*y(1,i-2)+...
y(1,i-3)*y(1,i-3)*y(1,i-3))+u(1,i)+u(1,i-1)+u(1,i-2) 。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。)
- 2011-04-13 10:26:06下载
- 积分：1
