Description: 4dpsk和8dpsk的matlab仿真实现，采用蒙特卡罗仿真法，绘制误码率曲线-the realization of 4dpsk&8dpsk by matlab tool.it use the Monte Carlo methods to 程/Communicationdraw the graph.,matlab,通讯编程/Communication-4dpsk 8dpsk and Simulation of Matlab, using Monte Carlo simulation method, Drawing BER curves- the realization of 4dpsk Platform: |
Size: 6697984 |
Author:刘定 |
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Description: 蒙特卡罗方法得课件，很详细！
蒙特卡罗随机模拟方法很不错得，大家快下。-Monte Carlo method in the courseware, very carefully! Monte-Carlo simulation method is pretty good in, we quickly under. Platform: |
Size: 302080 |
Author:郭星 |
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Description: 含有蒙特卡罗模拟的原理方法和产生二维随机数的方法，很简单实用-with Monte Carlo simulation method and the principle of random numbers generated by two-dimensional method, it is very simple and practical Platform: |
Size: 84992 |
Author:戴玉婷 |
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Description: 1． 对薄膜形成与生长中相关物理过程及现象进行分析和建模。
2． 利用蒙特卡罗（Monte Carlo）方法和分子动力学（Molecular Dynamics）方法对薄膜形成与生长过程进行计算机模拟。
3． 对多孔硅形成的模拟。
-1. The film formation and growth of relevant physical processes and phenomena analysis and modeling. 2. Monte Carlo (the Monte Carlo) methods and molecular dynamics (Molecular Dyna mics) method for thin film formation and growth process computer simulation. 3. On the formation of porous silicon simulation. Platform: |
Size: 7168 |
Author: nihao |
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Description: kalman滤波用于目标二维运动情况下的蒙特卡罗法仿真跟踪滤波器-Kalman filter for 2-D movement of the Monte Carlo simulation tracking filter Platform: |
Size: 1024 |
Author:sunqiang |
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Description: 交互多模算法，用于目标多机动假设运动情况下的蒙特卡罗法仿真跟踪滤波器。-interactive multi-mode algorithm for multi-objective maneuver under the assumption that the movement of the Monte Carlo simulation tracking filter. Platform: |
Size: 1024 |
Author:sunqiang |
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Description: 粒子滤波器是基于序贯Monte Carlo仿真方法的非线性滤波算法,可以解决所以线性，非线性问题。-Particle Filter is based on sequential Monte Carlo simulation method of nonlinear filtering algorithms, can be solved so linear, nonlinear problems. Platform: |
Size: 1024 |
Author:张欣欣 |
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Description: 晶体生长的Monte Carlo 模拟，晶体生长的Monte Carlo 模拟晶体生长的Monte Carlo 模拟-Crystal Growth of the Monte Carlo simulation, crystal growth of the Monte Carlo simulation of crystal growth of the Monte Carlo simulation Platform: |
Size: 145408 |
Author:冯康 |
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Description: psk和qpsk的蒙特卡罗仿真，摘自通信系统原理的仿真-QPSK psk and Monte Carlo simulation, taken from Principles of Communication Systems Simulation Platform: |
Size: 13312 |
Author:wyg051230 |
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Description: 应用与系统开发设计中的统计运算
蒙特卡洛算法，仿真中经常用到-Application and system development and design of statistical computing Monte Carlo algorithm, frequently used for simulation Platform: |
Size: 1024 |
Author:孙伟 |
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Description: On-Line MCMC Bayesian Model Selection
This demo demonstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation and details are presented in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Sequential Bayesian Estimation and Model Selection Applied to Neural Networks . Technical report CUED/F-INFENG/TR 341, Cambridge University Department of Engineering, June 1999. After downloading the file, type "tar -xf version2.tar" to uncompress it. This creates the directory version2 containing the required m files. Go to this directory, load matlab5 and type "smcdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
-On-Line MCMC Bayesian Model Selection
This demo demonstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation and details are presented in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Sequential Bayesian Estimation and Model Selection Applied to Neural Networks . Technical report CUED/F-INFENG/TR 341, Cambridge University Department of Engineering, June 1999. After downloading the file, type "tar-xf version2.tar" to uncompress it. This creates the directory version2 containing the required m files. Go to this directory, load matlab5 and type "smcdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
Platform: |
Size: 16384 |
Author:徐剑 |
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Description: This demo nstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation and details are presented in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Sequential Bayesian Estimation and Model Selection Applied to Neural Networks . Technical report CUED/F-INFENG/TR 341, Cambridge University Department of Engineering, June 1999. After downloading the file, type "tar -xf version2.tar" to uncompress it. This creates the directory version2 containing the required m files. Go to this directory, load matlab5 and type "smcdemo1". 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 how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation and details are presented in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Sequential Bayesian Estimation and Model Selection Applied to Neural Networks . Technical report CUED/F-INFENG/TR 341, Cambridge University Department of Engineering, June 1999. After downloading the file, type "tar-xf version2.tar" to uncompress it. This creates the directory version2 containing the required m files. Go to this directory, load matlab5 and type "smcdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters. Platform: |
Size: 220160 |
Author:晨间 |
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Description: monte carlo 仿真英文电子书
AGuidetoMonteCarloSimulationsinStatisticalPhysics,Second EditionThis new and updated deals with all aspects of Monte Carlo simulation ofcomplexphysicalsystemsencounteredincondensed-matterphysicsandsta-tistical mechanics as well as in related ?elds, for example polymer science,lattice gauge theory and protein folding-monte carlo simulation English e-books AGuidetoMonteCarloSimulationsinStatisticalPhysics, Second EditionThis new and updated deals with all aspects of Monte Carlo simulation ofcomplexphysicalsystemsencounteredincondensed-matterphysicsandsta-tistical mechanics as well as in related? elds, for example polymer science, lattice gauge theory and protein folding Platform: |
Size: 3883008 |
Author:林峰 |
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Description: Sequential Monte Carlo without Likelihoods
粒子滤波不用似然函数的情况下
本文摘要:Recent new methods in Bayesian simulation have provided ways of evaluating posterior distributions
in the presence of analytically or computationally intractable likelihood functions.
Despite representing a substantial methodological advance, existing methods based on rejection
sampling or Markov chain Monte Carlo can be highly inefficient, and accordingly
require far more iterations than may be practical to implement. Here we propose a sequential
Monte Carlo sampler that convincingly overcomes these inefficiencies. We demonstrate
its implementation through an epidemiological study of the transmission rate of tuberculosis.-Sequential Monte Carlo without Likelihoods Particle Filtering likelihood function do not have the circumstances of this article Abstract: Recent new methods in Bayesian simulation have provided ways of evaluating posterior distributionsin the presence of analytically or computationally intractable likelihood functions.Despite representing a substantial methodological advance, existing methods based on rejectionsampling or Markov chain Monte Carlo can be highly inefficient, and accordinglyrequire far more iterations than may be practical to implement. Here we propose a sequentialMonte Carlo sampler that convincingly overcomes these inefficiencies. We demonstrateits implementation through an epidemiological study of the transmission rate of tuberculosis . Platform: |
Size: 181248 |
Author:阳关 |
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Description: 对M=4的PSK通信系统进行蒙特卡罗仿真 简单实用-Of M = 4 of PSK communication systems Monte Carlo simulation of simple and practical Platform: |
Size: 3072 |
Author:李洁 |
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Description: This a matlab code that simulate the monte-carlo simulation of using 16-QAM with OFDM system under AWGN case. Platform: |
Size: 1024 |
Author:Nick |
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Search - Monte Carlo Simulation