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DEMAnisoEff
能够进行各向异性的差分等效介质(Differential Effective Medium Model)理论,获得各向异性介质的弹性张量(This programme could be used to build anisotropic elastic model by anisotropic Differential Effective Medium Model)
- 2013-09-25 20:21:58下载
- 积分:1
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BackscatterMap
雷达影像后向散射系数计算,并绘制后向散射系数图(backscattering coefficients of Radar image, show the figure of backscatter coefficients)
- 2021-03-31 15:49:09下载
- 积分:1
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DFA1
去趋势波动分析的开发程序,共享给大家,谢谢。(Detrended fluctuation analysis of the development process, for everyone to share, thank you.)
- 2013-11-24 20:32:12下载
- 积分:1
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watermark
To reduce the piracy .....here we use a watermark technique...
- 2010-06-09 00:17:26下载
- 积分:1
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radar-simulation-program
雷达系统的仿真程序,有需要的朋友可以看一下,谢谢支持(radar program)
- 2012-04-11 11:15:19下载
- 积分:1
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Matlabfuzzy
用MATLAB模糊逻辑工具箱设计模糊控制器,并用SIMULINK仿真(MATLAB Fuzzy Logic Toolbox fuzzy controller design, and use SIMULINK)
- 2006-09-20 21:42:06下载
- 积分:1
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FDD
数据频域分解法,基于结构的环境白噪声激励响应数据,识别结构的频率和振型(The frequency domain decomposition method, based on the structure of the environmental white noise stimulus-response data, identify the structure of the frequencies and mode shapes)
- 2021-04-20 15:48:50下载
- 积分:1
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对msk,fsk,ask等常规调制信号的循环谱进行了仿真 CyclicSpectral
该计算代码主要对msk,fsk,ask等常规调制信号的循环谱进行了仿真,可以进一步补充,谢谢大家分享。(This calculation code mainly cyclic spectrum msk, fsk, ask other conventional modulation signal simulation, can be further supplemented, thank you share.)
- 2020-06-29 13:40:02下载
- 积分:1
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nnpidcontroll
说明: Matlab 神经网络离散PID控制实例,在Simulink环境中搭载仿真模块即可实现,结果图效果不错(Matlab neural network PID control of discrete examples, in the Simulink environment with simulation module can be realized, the results of Fig good results)
- 2021-02-18 23:19:44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