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COST207
MATLAB环境下，LTE信道模型的仿真程序(MATLAB environment, LTE channel model simulation program)
- 2010-06-06 15:25:38下载
- 积分：1
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matlabtools
介绍了MATLAB工具中的数学工具，是你用MABLAB开发时必不可少的参考书籍啊。(MATLAB tools introduced in the mathematical tools, is when you develop MABLAB indispensable reference books ah.)
- 2007-11-12 22:21:01下载
- 积分：1
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huff2
implementation huffman alghoritm with matlab
- 2015-10-25 17:12:59下载
- 积分：1
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ch17_p3
%% 用聚类法确定葡萄酒分级
% 《MATLAB数学建模方法与实践》(《MATLAB在数学建模中的应用》升级版)，北航出版社，卓金武、王鸿钧编著.(Classification of wine by clustering method
Mathematical Modeling Methods and Practice in MATLAB (Upgraded Edition of Application of MATLAB in Mathematical Modeling), edited by Zhuo Jinwu and Wang Hongjun, Beihang Publishing House.)
- 2018-08-23 20:58:55下载
- 积分：1
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MATLAB_g
使用matlab语言描述遗传算法源的程序(Genetic algorithm using matlab language to describe the source of the program)
- 2010-06-15 21:10:22下载
- 积分：1
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3dframe
3d farame analysis , matlab source code
- 2009-10-01 17:05:36下载
- 积分：1
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Huffman_code
说明： 经典的Huffman编码，给定概率向量，输出相应Huffman编码(Classic Huffman encoding, given the probability vector, the output corresponding Huffman coding)
- 2010-04-23 21:24:41下载
- 积分：1
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TIAOJIAO_Mqxd_JC10
血细胞图像调焦清晰度判别函数主要利用爬山算法实现(Blood cells image focusing clarity discriminant function climbing algorithm)
- 2012-12-04 14:54:18下载
- 积分：1
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dckalman
一种改进的卡尔曼滤波器算法，用于预测目标。(An improved Kalman filter algorithm for predicting the target.)
- 2012-12-18 21:39:23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
