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ldpc-bp
LDPC码经典BP译码程序,Matlab环境下,可运行成功(ldpc codes bp decoding in matlab enviorment)
- 2010-01-04 10:21:55下载
- 积分：1
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ZtransformusingMatlab
Z-transform, like the Laplace transform, is an indispensable mathematical
tool for the design, analysis and monitoring of systems. The z-transform is
the discrete-time counter-part of the Laplace transform and a generalization
of the Fourier transform of a sampled signal. Like Laplace transform the z-
transform allows insight into the transient behavior, the steady state
behavior, and the stability of discrete-time systems. A working knowledge
of the z-transform is essential to the study of digital filters and systems.
- 2012-04-16 14:22:57下载
- 积分：1
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NK30
神经网络算法30例，里面是完整的，主要包含神经网络算法和聚类、灰色等。(30 cases of neural network algorithm, the inside is complete, mainly includes neural network algorithm and clustering, grey, etc.)
- 2015-01-14 22:18:12下载
- 积分：1
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HistogramEq
Histogram Equalization MAtlab Code for image contrast Enhancement without using inbuilt function
- 2016-05-07 12:17:14下载
- 积分：1
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仿真代码
说明： 对倾转旋翼机的仿真，三个状态分别为悬停，过渡，和前飞(simulation fly hover transition and forward)
- 2019-12-28 15:19:53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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RPCL
RPCL聚类算法,用MATLAB实现，有详细注释(RPCL clustering algorithm, using MATLAB realization of the Notes in more detail)
- 2007-11-27 10:45:20下载
- 积分：1
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msim
matlab仿真模拟退火算法的简单搜索过程，随机数用数组实现(Matlab simulation annealing simple search process, with a few random arrays to achieve)
- 2007-03-27 10:51:02下载
- 积分：1
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Embedding-and-extracting
embedding and extraction by DCT
- 2013-10-03 02:45:30下载
- 积分：1
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bpf
Band Pass Filter matlab command
- 2013-10-09 00:08:08下载
- 积分：1
