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cchygl
会员管理软件会员管理软件会员管理软件会员管理软件会员管理软件(manager program 1234567893)
- 2009-12-10 08:19:35下载
- 积分:1
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LDPCcode
利用函数MadHG生成规则LDPC码的校验矩阵H,其行重为6,列重为3,行数为列数一半(行数越大越好),H中任意两列没有围长为4的圈,并得到H对应的生成矩阵G,可以保证mod(G*H ,2)=0。使用方法为:[H,G] = MadHG(m,n,x),x= 1(得到的G左半部分为单位阵) or 2(G右半部分为单位阵),(use function MadHG Generation rules LDPC check matrix H, re-6, series of three, out for a few half of the number (A bigger the better), H 2 arbitrary no girth of the four circles, H counterparts and with the formation of matrix G, we can be assured of mod (G* H, 2) = 0. To be used : [H, G] = MadHG (m, n, x), x = 1 (the G part of the Left Front units) or 2 (G right half of the units RUF),)
- 2007-05-12 10:49:48下载
- 积分:1
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cellularAutomata
森林火灾和气体扩散的matlab元胞自动机模拟(cellular Automata simulation)程序。(Forest fires and gas diffusion of matlab simulation of cellular automata (cellular Automata simulation) procedures.)
- 2007-08-25 03:00:38下载
- 积分:1
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MATLAB_nonlinear_numerical_algorithm_source_code
MATLAB的非线性数值算法源代码MATLAB nonlinear numerical algorithm source code(MATLAB' s nonlinear numerical algorithm source code MATLAB nonlinear numerical algorithm source code)
- 2010-08-02 10:56:52下载
- 积分:1
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Virtual-drive7.1
the program Virtual drive7.1.rar
- 2012-04-14 22:11:52下载
- 积分:1
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matlab
包含matlab常用的各种函数,适合于初学matlab者查询、使用。(Contains a the matlab commonly used in a variety of functions, suitable for beginners matlab query, use.)
- 2012-05-17 22:08:48下载
- 积分:1
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LMSnew
最小均方误差迭代算法和最小二乘算法的仿真程序。适用初学者(least mean square and recursive least square. appropriate for elementary learners.)
- 2014-11-04 22:46:50下载
- 积分:1
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Motor_control_simulink
Electric drives simulink
- 2010-08-17 10:39:54下载
- 积分:1
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chap3_6
离散系统滑模跟踪的kalman应用,希望对大家有用(Sliding mode discrete-time systems kalman tracking applications, in the hope that useful to everybody)
- 2008-03-26 09:38:26下载
- 积分:1
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MCMCcourse-BOOK
此为一篇介绍mcmc方法的外文文献 非常适合刚刚接触mcmc方法的初学者(This paper introduces the readers of the Proceedings
to an important class of computer based simulation
techniques known as Markov chain Monte Carlo
(MCMC) methods. General properties characterizing
these methods will be discussed, but the main emphasis
will be placed on one MCMC method known as the
Gibbs sampler. The Gibbs sampler permits one to simulate
realizations from complicated stochastic models in
high dimensions by making use of the model’s associated
full conditional distributions, which will generally have
a much simpler and more manageable form. In its most
extreme version, the Gibbs sampler reduces the analysis
of a complicated multivariate stochastic model to the
consideration of that model’s associated univariate full
conditional distributions.)
- 2013-11-13 10:33:29下载
- 积分:1