Description: Computes BER v EbNo curve for convolutional encoding / soft decision
Viterbi decoding scheme assuming BPSK.
Brute force Monte Carlo approach is unsatisfactory (takes too long)
to find the BER curve.
The computation uses a quasi-analytic (QA) technique that relies on the
estimation (approximate one) of the information-bits Weight Enumerating
Function (WEF) using
A simulation of the convolutional encoder. Once the WEF is estimated, the analytic formula for the BER is used.-Computes BER v EbNo curve for convolutional encoding/soft decision Viterbi decoding scheme assuming BPSK. Brute force Monte Carlo approach is unsatisfactory (takes too long) to find the BER curve.The computation uses a quasi-analytic (QA) technique that relies on theestimation (approximate one) of the information-bits Weight Enumerating Function (WEF) usingA simulation of the convolutional encoder. Once the WEF is estimated, the analytic formula for the BER is used. Platform: |
Size: 6144 |
Author:joy |
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Description: 这是马尔可夫-蒙特卡罗算法的MATLAB源程序.-This is the Markov- Monte Carlo algorithm for MATLAB source code. Platform: |
Size: 136192 |
Author:liufanmao |
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Description: 用matlab对M=8的PSK系统进行蒙特卡罗仿真，分析其误码率-Using matlab for M = 8 the PSK system Monte Carlo simulation, to analyze the bit error rate Platform: |
Size: 3072 |
Author:wuyinkui |
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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: The package includes 3 Matlab-interfaces to the c-code:
1. inference.m
An interface to the full inference package, includes several methods for
approximate inference: Loopy Belief Propagation, Generalized Belief
Propagation, Mean-Field approximation, and 4 monte-carlo sampling methods
(Metropolis, Gibbs, Wolff, Swendsen-Wang).
Use "help inference" from Matlab to see all options for usage.
2. gbp_preprocess.m and gbp.m
These 2 interfaces split Generalized Belief Propagation into the pre-process
stage (gbp_preprocess.m) and the inference stage (gbp.m), so the user may use
only one of them, or changing some parameters in between.
Use "help gbp_preprocess" and "help gbp" from Matlab.
3. simulatedAnnealing.m
An interface to the simulated-annealing c-code. This code uses Metropolis
sampling method, the same one used for inference.
Use "help simulatedAnnealing" from Matlab. Platform: |
Size: 83968 |
Author:bevin |
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Description: 用matlab进行monte-carlo的一般数值积分求积例题。稍微的一个小例子-Using matlab to monte-carlo quadrature numerical integration of general examples. A small example of a little Platform: |
Size: 7168 |
Author:朱竹溪 |
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Description: 蒙特卡罗模拟光散射程序，粒子随机分布，绝对可以直接运行。带有简单说明～～～～～～！-Monte Carlo Simulation of light scattering process, a random distribution of particles can definitely make a direct run. With a brief description of ~~~~~~! Platform: |
Size: 2048 |
Author:李兴财 |
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Description: This demo shows the BER performance of linear, decision feedback (DFE), and maximum likelihood sequence estimation (MLSE) equalizers when operating in a static channel with a deep null. The MLSE equalizer is invoked first with perfect channel knowledge, then with an imperfect, although straightforward, channel estimation algorithm. The BER results are determined through Monte Carlo simulation. The demo shows how to use these equalizers seamlessly across multiple blocks of data, where equalizer state must be maintained between data blocks. Platform: |
Size: 102400 |
Author:Lee |
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Description: 本源码是基于Markov chain Monte Carlo (MCMC)的Bayesian inference工具包,其中包括MCMC采样，基于MCMC的高斯分类，同时描述了采样的一些方法。其中还有使用文档-toolbox is a collection of Matlab functions for Bayesian inference
with Markov chain Monte Carlo (MCMC) methods Platform: |
Size: 11885568 |
Author:吴晓明 |
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Description: Monte Carlo方法的经典教材，可以帮助你深入学习Monte Carlo方法-Monte Carlo method of classical teaching, I can help you-depth study of Monte Carlo methods Platform: |
Size: 2263040 |
Author:huierqing |
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Description: the book <<Simulation and Monte Carlo With applications in finance and MCMC >> about MONte carlo method applying to finance problem and markov chain and markov decision process. Platform: |
Size: 3390464 |
Author:胡桃 |
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Description: 简单的蒙特卡洛算法，设计拟合随机数，通过系类操作完成部分计算-A simple Monte Carlo algorithm, designed to fit a random number, through the Department of the completion of part of the calculation of class action Platform: |
Size: 2048 |
Author:wangqiaoyi |
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Description: 蒙特卡罗(Monte Carlo)方法，又称计算机随机模拟方法，是一种基于"随机数"的计算方法。这一方法源于美国在第二次世界大战研制原子弹的曼哈顿计划。该计划的主持人之一数学家冯诺伊曼用驰名世界的赌城-摩纳哥的Monte Carlo来命名这种方法。-Monte Carlo (Monte Carlo) methods, also known as computer-generated random simulation method is based on " random number" is calculated. This approach stems from the United States in World War II' s Manhattan Project developing the atomic bomb. One of the hosts of the plan with the world-famous mathematician von Neumann in Las Vegas- Monaco Monte Carlo to name this approach. Platform: |
Size: 517120 |
Author:Kevin |
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Search - Monte Carlo matlab