搜索资源列表
MMCqueue
- M/M/C排队模型，信道分配，二级用户可占用以及用户的空闲信道-M/M/C queue-based model ,Markov-chain model is extendable to any practical number of PCs and SCs and remains accurate for any practical Primary User (PU) and Secondary User (SU) tele-traffic intensity
PLS
- 偏最小二乘回归matlab代码，马尔可夫链提高精度-PLScode Improved by Markov-Chain
3dCaptcha-1.0.0
- 3D验证码是一个易于使用的验证码用PHP编写的。 它的特点： • 一种新的方法来实现验证码的，使用人的三维空间认知能力从一台机器来区分。 • 它采用马尔可夫链产生类似于人类的语言，很容易输入文字。 • 可以很容易地部署。-3D PIN verification is an easy to use code written in PHP. It features: • A new way to implement the code, the use of
2008112616515561415
- matlab 实现的MCMC算法 马尔科夫链蒙特卡洛模拟的matlab源代码-MCMC MCMC Markov Chain Monte Carlo Tools Copyright (c) 1998, Harvard University. Full copyright in the file Copyright There are three parts to this library of routines. 1.*[rnd,pdf,lpr].m-
accord-hmm-source
- Hidden Markov Models in C#-Introduction Hidden Markov Models were first described in a series of statistical papers by Leonard E. Baum and other authors in the second half of the 1960s. One of the first applications of HMMs was speech recognition,
MATLAB
- 数学建模算法大全 包括马氏链模型，神经网络模型，变分法模型等-Mathematical modeling algorithm Daquan include Markov chain model, neural network model, variational method models
mcmcexamples
- MCMC（马尔科夫莫特卡洛）方法源代码，MCMC的具体方法有M-H法和Gibbs采样 -Markov Chain Monte Carlo
gbvs
- 显著性代码，GBVS算法是一种提取人眼感兴趣区域的算法，与Itti模型不同，采用马尔科夫链，用其平稳分布来提取显著图。-Salient code, interested in the human eye area is extracted by GBVS algorithm,it is unlike Itti model. The markov chain and the stationary distribution is used to extract significant figure.
MCMCMH
- 马尔科夫蒙特卡洛，通过MH算法对初始状态和状态转移矩阵进行预测-Markov Chain Monte Carlo, by MH algorithm to the initial state and the state transition matrix to predict
MCMC_CorpFin
- 马尔科夫蒙特卡洛在经济分析中的应用，主要侧重平稳过程后的分析-Markov Chain Monte Carlo applications in economic analysis, the analysis focused primarily on stationary process after
UEMC
- 分别假定英文信源为m 0,1,2,...,5 阶马尔科夫链考察其熵率、 信息 冗余度和结构信息；仅考虑英文的 阶马尔科夫链考察其熵率、 信息 冗余度和结构信息；仅考虑英文的 26 个字母，不区分大小写。 用MATLAB 实现。-English sources are assumed as m 0,1,2, ..., 5-order Markov chain examine its entropy rate, information redundancy and structu
mcmc
- MCMC方法主要是为了解决有些baysian推断中参数期望E(f(v)|D)不能直接计算得到的问题的。 其中v是要估计的参数，D是数据观察值-The concept consists of two parts:markov chain and monte carlo integration。
markolimit
- 马尔科夫链求极限，在matlab中应用，状态转移矩阵可以更改-Markov chain requirements limit the application in matlab, the state transition matrix can be changed
[muchong.com]mcmc
- MCMC方法就是*构造合适的马尔科夫链进行抽样而使用蒙特卡洛方法进行积分计算,既然马尔科夫链可以收敛到平稳分布。我们可以建立一个以π为平稳分布的马尔科夫链，对这个链运行足够长时间之后，可以达到平稳状态。此时马尔科夫链的值就相当于在分布π(x)中抽取样本。利用马尔科夫链进行随机模拟的方法就是MCMC。(MCMC method is * construct appropriate sampling of markov chain and USES the monte carlo method for
代码
- 隐Markov模型(简称为HMM)是在Markov模型的基础上发展而来的。由于实际问题比Markov模型所描述的问题更为复杂，观测到事件并不是与状态一一对应，而是通过一组观测概率分布相联系，这样的模型称为HMM。它是一个双重随机过程，其中之一是Markov链，这是一个基本的随机过程，描述状态之间的转移。另一个随机过程描述状态和观测变量之间的统计对应关系，这样，站在观察者的角度，只能看到观察值，不象Markov模型中的观测值和状态一一对应。(The implicit Markov model (H
hmm
- 隐马尔科夫链作为故障诊断和识别的手段，有事例和程序详解(Hidden Markov chain as a means of fault diagnosis and identification, there are detailed examples and procedures)
HMM隐马尔科夫语音识别
- 隐马尔科夫链在语音识别方面的运用，实现matlab的程序编写。(Hidden Markov chain in the field of speech recognition, the realization of MATLAB programming.)
markov
- 使用该程序生成马尔科夫链,可用于修改来计算多条马尔科夫链，生成随机值。(Use this program to generate the Markoff chain, can be used to calculate the number of modified Markoff chain, generating random values.)
工况预测初步
- 基于马尔科夫链的工况预测，包含多个标准工况的数据(driving CYCLE prediction based on markov chain , and some standard driving cycles' data are included)
matlablistings
- 马尔科夫链蒙特卡洛算法简单实例,模式识别，参数识别(mcmc,bayesian,Based on markov chain monte carlo method is implemented in the matlab program)