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MATLAB6.0
本文件含有关于matlab学习的资料,适用于初学者(This document contains information on learning matlab for beginners)
- 2010-07-09 19:19:01下载
- 积分:1
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dsp_examples
The files explain aliasing , gibbs, dft and fft. All are very useful in signal processing applications and the files illustrate the contents very well with plots/graphs.
- 2009-05-24 18:46:39下载
- 积分:1
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suanfa
该函数的功能是利用matlab实现图像的快速有效的分割(Function of the function is to use matlab to achieve fast and efficient image segmentation)
- 2010-03-08 21:52:55下载
- 积分:1
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matlab_oop
描述matlab的面向对象编程的一些原则(Describe some of the principles of the Matlab object-oriented programming)
- 2012-03-30 10:45:23下载
- 积分:1
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adaptive-control
对模型参考自适应进行仿真,并且给出控制算法的改进(The model reference adaptive simulation, and gives the control algorithm
)
- 2011-07-09 22:10:25下载
- 积分:1
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Ingrid-Daubechies
Ingrid Daubechies《小波十讲》(中文版)具体电子数目及应用(Ingrid Daubechies, "Ten Lectures on Wavelets" (Chinese version), the number of electrons and)
- 2013-05-05 17:28:15下载
- 积分:1
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matpower4.0
如何使用matpower,方便易懂,值得学习(How to use the MATPOWER, easy to understand, it is worth learning)
- 2020-09-02 03:28:08下载
- 积分:1
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IMM
1.IMM.m
主要功能:
(1)IMM算法的实现;
(2)画出目标轨迹与利用IMM算法跟踪目标的轨迹;
(3)画出位置误差与速度误差;
(4)画出模型混合概率图。
2.Target_track.m
主要功能:
实现目标轨迹的产生。
3.Model_mix.m
主要功能:
实现IMM算法下,各模型的估计融合。
4.Kalman.m
主要功能:
实现模型的条件滤波,以及似然函数的输出。(1.IMM.m main functions: (1) IMM algorithm implementation (2) Draw the locus and utilization of IMM target tracking algorithm goals (3) shows the position error and speed error Mixed (4) Draw model probability plots. 2.Target_track.m main functions: to produce the target locus. 3.Model_mix.m main functions: IMM algorithm, it is estimated each model integration. 4.Kalman.m main functions: the model filter condition, and it seems natural function of the output.)
- 2020-07-02 07:40:02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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code
the above uploaded codes are very useful for image segmentation,edge detection
- 2010-12-02 22:48:38下载
- 积分:1