-
circonv
循环位移函数,离散傅里叶函数必备工具之一。(Cyclic displacement function, discrete Fourier one of the tools necessary functions.)
- 2014-03-19 17:48:25下载
- 积分:1
-
FOLDY
地球物理领域地震波在随机介质中的多次散射波,采用解析解模拟。经典的Foldy 方法(Geophysics seismic waves in random media multiple scattering waves, using analytical solution. The classic Foldy method )
- 2016-03-21 19:43:03下载
- 积分:1
-
HH-sim-me
this code is the Hodgkin-Huxley
- 2016-07-28 06:39:09下载
- 积分:1
-
ditong
matlab低通滤波器 iir 双线性变换法 chebyshev高通滤波器(low-pass filter matlab bilinear IIR chebyshev transform high-pass filter)
- 2008-12-25 10:20:17下载
- 积分:1
-
matlabmatlabsymboliccomputation
matlab符号计算基础教程。简单明了,很适合初学者(matlab symbolic computation Essentials. Simple, it is suitable for beginners)
- 2010-07-16 17:59:16下载
- 积分:1
-
LTI
First steps in Linear Systems analysis (step response, impulse response, stability, Nyquist/Bode plots, gain/phase margins etc.)
- 2011-02-08 03:41:59下载
- 积分:1
-
pca1
Principal component analysis (PCA) is a mathematical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables called principal components. The number of principal components is less than or equal to the numbe
- 2013-02-12 18:54:33下载
- 积分:1
-
Color-Tracking-Code
This matlab code helps to track color using matlab algortihm. this is a image processing programming code to develop automatic color detection applications.
- 2013-12-01 12:13:35下载
- 积分:1
-
CHEBYSHEVFILTER
CHEBYSHEV HIGHPASS FILTER
- 2010-11-10 14:12:40下载
- 积分:1
-
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