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FSK_mod
FSK modulation matlab model
frequency deviation
FSK modulacia so spojitou fazou je zalozena na frekvenciach,
t.j. ak k=f/tb a k je celociselny nasobok oboch frekvencii.
Ak k nie je celociselny nasobok, potom je to FSK modulacia s nespojitou fazou.
fb - frekvencia vstupnych bitov bit/s
fm - frekvencia pre 1
fs - frekvencia pre 0
>> FSK_mod(500,1000,3000,[0 1 0 1 1 0 1 0 0 1]) (FSK modulation matlab model
frequency deviation
FSK modulacia so spojitou fazou je zalozena na frekvenciach,
t.j. ak k=f/tb a k je celociselny nasobok oboch frekvencii.
Ak k nie je celociselny nasobok, potom je to FSK modulacia s nespojitou fazou.
fb- frekvencia vstupnych bitov bit/s
fm- frekvencia pre 1
fs- frekvencia pre 0
>> FSK_mod(500,1000,3000,[0 1 0 1 1 0 1 0 0 1]) )
- 2010-10-21 11:45:13下载
- 积分：1
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M-DCPID
matlab pid matlab pid matlab pid (matlab pidmatlab pid matlab pid)
- 2011-05-29 14:44:52下载
- 积分：1
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Reversible_Jump_MCMC_Bayesian_Model_Selection
This demo nstrates 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.
(This demo nstrates 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.
)
- 2008-03-07 23:23:12下载
- 积分：1
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Matlab
matlab 经典教程 从入门到精通 实例讲解 非常经典 值得收藏(matlab classic tutorial on the very classic examples from entry to the proficient worth collecting)
- 2013-12-16 15:12:02下载
- 积分：1
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MATLAB_language
一篇关于MATLAB的基础知识，供大家使用，希望对大家有用，(A basic knowledge of MATLAB for everyone to use, we want to be useful,)
- 2013-07-21 10:01:21下载
- 积分：1
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ss_integ.m
trapezoidal rule for integration
- 2014-10-04 03:56:19下载
- 积分：1
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two-way-relay
two way relay channel channel estimation(two way relay )
- 2011-12-06 15:58:47下载
- 积分：1
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fdtd3D
3-D FDTD code with PEC boundaries
- 2013-02-25 12:37:51下载
- 积分：1
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74codingadecoding
用matlab实现（7,4）汉明码的编码和解码(failed to translate)
- 2013-05-06 10:39:29下载
- 积分：1
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vuvuzelamatlab
vuvuzela filter matlab programme
- 2010-08-27 17:31:54下载
- 积分：1
