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overvoltage
电系统过电压仿真程序,基于matlab和vc的混合编程,matlab动态仿真(Over-voltage power system simulation program, based on matlab and vc mixed programming, matlab dynamic simulation)
- 2008-03-16 01:52:16下载
- 积分:1
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r-5
research paper for m.tech students
- 2013-03-03 12:18:26下载
- 积分:1
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img_cdf
cdf function for image processing
- 2014-10-15 19:41:25下载
- 积分:1
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PID_Controller_Matlab_Code
PID控制电机MATLAB源码,可以直接运行。(PID control motor MATLAB source code can run.)
- 2010-07-04 15:35:43下载
- 积分:1
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Calculate-the-Coma-aberration-
用于光学设计分析软件的计算各视场慧差的宏(The optical design and analysis software is used to calculate the field of view of each macro coma)
- 2014-10-29 16:15:48下载
- 积分:1
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LMS
LMS算法实现自适应滤波
clear close all clc
N=10000 设置仿真长度
信号产生参数设定
a1=-0.195
a1=-1.5955
a2=0.95
R0=[1,a1,a2 a1,1+a2,0 a2,a1,1]
p=[1,0,0]
r=inv(R0)*p 计算理论自相关函数
R=[r(1),r(2) r(2),r(1)] 生成理论自相关矩阵
p1=[r(2),r(3)] 生成互相关
h=inv(R)*p1 计算维纳解
Jmin=r(1)-h *p1 计算维纳解时最小均方误差
u=1/sum(eigs(R)) ( LMS算法实现自适应滤波
clear close all clc
N=10000 设置仿真长度
信号产生参数设定
a1=-0.195
a1=-1.5955
a2=0.95
R0=[1,a1,a2 a1,1+a2,0 a2,a1,1]
p=[1,0,0]
r=inv(R0)*p 计算理论自相关函数
R=[r(1),r(2) r(2),r(1)] 生成理论自相关矩阵
p1=[r(2),r(3)] 生成互相关
h=inv(R)*p1 计算维纳解
Jmin=r(1)-h*p1 计算维纳解时最小均方误差
u=1/sum(eigs(R)) )
- 2021-03-01 22:29:34下载
- 积分:1
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FFT
是关于FFT的matlab仿真程序源码,比较详细,且运行通过(On the FFT source of matlab simulation program, more detailed, and run through)
- 2009-05-22 14:19:07下载
- 积分:1
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int_mat
通过使用matlab程序用内惩罚函数法的对算例进行分析(Matlab procedures through the use of penalty function method used in the analysis of numerical example)
- 2009-03-16 21:17:00下载
- 积分:1
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Horn-and-Schunck
Optical flow alogorithm based on Horn and Schunck / MATLAB code
- 2011-06-21 00:07:16下载
- 积分:1
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Wiener
设计一维纳滤波器
(1)产生三组观测数据:首先根据s(n)=a s(n-1)+w(n)产生信号s(n),将其加噪(信噪比分别为20dB,10 dB,6 dB),得到观测数据x1(n), x2(n), x31(n).
(2)估计xi(n),i=1,2,3的AR模型参数。假设信号长度为L,AR模型阶数为N,分析实验结果,并讨论改变L,N对实验结果的影响。
(A Wiener filter design (1) to produce three sets of observations: first generating a signal s (n) according to s (n) = as (n-1)+w (n), to add noise (20dB SNR, respectively , 10 dB, 6 dB), to obtain observational data x1 (n), x2 (n), x31 (n). (2) estimate xi (n), i = AR model parameters 1,2,3. Assuming the signal length L, AR model of order N, analysis of experimental results and discuss the impact changing L, N of the experimental results.)
- 2013-11-26 21:53:25下载
- 积分:1