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linetr-double-invented-pendument
对直线二级摆系统利用滑膜变结构理论进行控制研究，在MATLAB环境下进行仿真试验，仿真曲线达到了理想效果。(right straight two pendulum system using synovial variable structure control theory, MATLAB environment for simulation, simulation curves achieved the desired effect.)
- 2007-05-22 13:42:23下载
- 积分：1
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image-processing-and-recognition
VC与MATLAB图像处理与识别_源代码(VC and MATLAB image processing and recognition)
- 2013-11-18 13:05:21下载
- 积分：1
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Introduction-to-digital-signal-processing-and-fil
digital signal processing, wiley publishers
- 2013-11-09 21:56:05下载
- 积分：1
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NPearson
奈曼皮尔逊准则仿真，在P(H1|H0)=a的约束条件下，使P(H1|H1)最大的准则。(Neyman-pearson criterion)
- 2018-04-22 11:40:54下载
- 积分：1
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Classification_toolbox
Duda的《模式分类》第二版的配套的Matlab源代码，非常完整(Duda s pattern classification of matching the second edition of the Matlab source code, very complete)
- 2009-01-14 15:14:30下载
- 积分：1
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matlab
MATLAB PPT及实例M文件，主要是基于MATLAB 的数值计算，希望对你有用(MATLAB PPT and examples of M documents, mainly based on MATLAB numerical calculation, hope useful to you)
- 2009-09-30 23:03:33下载
- 积分：1
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kalman
卡尔曼的程序，里面有个基础的卡尔曼程序还有一个图像跟踪的卡尔曼程序。(Kalman s procedure, which has a basic program and a picture of Kalman Kalman tracking procedures.)
- 2010-10-12 17:15:05下载
- 积分：1
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steep
matlab 最速下降法 源码
关于最速下降法的一个matlab小程序(steepest descent method)
- 2012-05-18 20:21:19下载
- 积分：1
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shuzhijifen
数值积分中matlab的实现，其中包括拉格朗日插值、辛普森插值等基本算法。(Numerical integration in matlab realization, including Lagrange interpolation, Simpson and other basic interpolation algorithm.)
- 2013-09-15 07:16:25下载
- 积分：1
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music(doa)
七单元天线阵MUSIC DOA估计：
d=1 ， 天线阵元的间距；
lma=2， 信号中心波长；
四输入信号；
A=[A1,A2,A3,A4]， 得出A矩；
四信号的频率d=[1.3*cos(v1*n)
1*sin(v2*n)
1*sin(v3*n)
1*sin(v4*n)]
构造输入信号矢量
U=A*d
总的输入信号
总输入信号的协方差矩阵
[s,h]=eig(c)
求协方差的特征矢量及特征值
取出与零特征值对应的特征矢量
求协方差矩阵的逆矩阵
应用Music法估计输出
绘出各波达方向图(Seven-element antenna array MUSIC DOA estimates: d = 1, Antenna Array pitch LMA = 2 signal center wavelength four input signals A = [A1, A2, A3, and A4], drawn A moment tetra-frequency of the signal D = [1.3* cos (V1* n) 1* sin (v2* n) 1* sin (v3* n) 1* sin (V4* n)] constructed input signal vector U = A* D of the total input signal of the total input signal covariance matrix [S] = EIG (c) seeking covariance feature vector and the feature value removing and corresponding to the zero eigenvalues characterized vector seeking covariance matrix inverse matrix Applications Music estimate output plotted DOA Figure)
- 2013-04-15 23:48:49下载
- 积分：1
