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spwm
SPWM和SVPWM模型 已经经过调试可用参数可设(SPWM and SVPWM model has been used to debug parameters can be set up)
- 2010-03-11 11:01:17下载
- 积分：1
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FT_vwt
这是一个关于fiber tracking的源程序(This is a source of fiber tracking)
- 2011-07-05 11:52:07下载
- 积分：1
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drtoolbox
Matlab Toolbox for Dimensionality Reduction
- 2012-06-12 17:37:14下载
- 积分：1
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tftb2002toolbox
matlab时频分析数据包，用于信号分析处理(matlab time-frequency analysis data packets for signal analysis and processing)
- 2013-04-19 16:15:09下载
- 积分：1
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yongse
M/M/C模型的呼叫过程阻塞概率的仿真
Simulation M / M / C call blocking probability model(Simulation M/M/C call blocking probability model)
- 2015-01-20 15:30:18下载
- 积分：1
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MATLABSDFS
MATLAB将经纬度坐标转换成直角坐标,fsfssdgfvs(Using MATLAB latitude and longitude coordinates into Cartesian coordinates)
- 2016-06-09 22:34:46下载
- 积分：1
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Digital_filterin_code
MATLAB辅助设计数字滤波器源代码，QUATUS II 实现！(MATLAB-aided design of digital filter source code, QUATUS II implementation!)
- 2009-03-31 13:19:42下载
- 积分：1
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TOANNHAN
vi du viet giao dien phep toan nhan dung Matlab, da bien dich thanh file chay doc lap, luu y muon chay doc lap chep MCRInstaller.exe trong Matlab2007b (hoac phien ban moi) vao folder chua file chay doc lap
- 2010-11-05 20:50:38下载
- 积分：1
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labviewdiaoyongmatlab
说明： 在LabVIEW中应用MATLAB进行信号处理(signal processing by matlab in labview!)
- 2010-04-06 16:40:16下载
- 积分：1
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rjMCMCsa
可逆跳跃马尔科夫蒙特卡洛贝叶斯模型选择，主要用于神经网络(Reversible Jump MCMC Bayesian Model Selection
This demo demonstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar-xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.)
- 2013-03-11 22:29:52下载
- 积分：1
