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LMI_tool_introduction
matlab中线性不等式LMI工具箱的使用，中文版(matlab LMI toolbox in the use of linear inequalities)
- 2010-10-20 14:24:35下载
- 积分：1
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BPSK
simulink仿真框图来实现BPSK调制(simulation simulink block diagram to realize BPSK modulation)
- 2007-10-11 10:28:10下载
- 积分：1
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otsu
This is matlab otsu coding
- 2010-09-16 19:40:51下载
- 积分：1
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well-sampler
well sampler of aaze.ir
- 2014-12-10 01:33:54下载
- 积分：1
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Matlabdsp
Matlab数字信号处理与应用源代码,
包含的实例所使用的源程序清单，文件夹第3章～第7章分别包括各章节内的实例源程序。
(Digital signal processing and application of Matlab source code that contains an instance of the use of source lists, folders, Chapter 3 ~ Chapter 7, respectively, including source code examples within the chapters.)
- 2009-09-17 18:28:08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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mseq-modulation
基于m序列的DS-CDMA通信系统仿真的调制解调模型(M-sequence-based DS-CDMA communication system simulation model of modulation and demodulation)
- 2013-08-25 20:45:26下载
- 积分：1
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GA
说明： Genetic algorithm.................
- 2014-09-22 17:46:18下载
- 积分：1
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hundunRBF
说明： MATLAB分析混沌时间序列的方法的M文件，适合初学者(MATLAB method of chaotic time series analysis of M-files, suitable for beginners)
- 2011-03-15 21:10:03下载
- 积分：1
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Matlab6Xjiaocheng
matlab教程，详细介绍Matlab的基础、入门及使用指南。()
- 2007-07-30 21:10:15下载
- 积分：1
