Description: 建立完善的通用蒙特卡罗程序可以避免大量的重复性工作，并且可以在程序的基础上，开展对于蒙特卡罗方法技巧的研究以及对于计算结果的改进和修正的研究，而这些研究成果反过来又可以进一步完善蒙特卡罗程序-establish and improve the general Monte Carlo procedure avoided a lot of repetitive work, and the procedures on the basis of Monte Carlo method for carrying out research and techniques for improving the results of the study and amendments, These research results, in turn, could further improve the Monte Carlo procedure Platform: |
Size: 1243136 |
Author:王强 |
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Description: 用MonteCarlo方法，Matlab算法来实现分析信号源-use of Monte Carlo methods, algorithms to achieve Matlab Signal Source Analysis Platform: |
Size: 66560 |
Author:yinlan |
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Description: Monte Garlo 仿真程序，关于误码率与信噪比的对应关系，希望对大家学习有所帮助-Monte Garlo simulation program, on the bit error rate and signal to noise ratio of the corresponding relations and hopes to help them to learn Platform: |
Size: 2048 |
Author:置信区间 |
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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: 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: 绍了数字通信中的Q PSK 调制解调的原理和过程, 通过用M atlab 对这一过程的编程, 分析信号在
理想信道和加噪信道中模拟传输时的时域图, 并用蒙特卡罗方法, 讨论模拟过程中的误码率, 所得结果与理论
结果基本一致.
关键词:Q PSK 系统仿真 蒙特卡罗分析 M atlab-Shaozeng digital communications Q PSK modulation and demodulation principle and process, M atlab through the process of programming, analysis of signal processing in the ideal channel noise channel analog transmission of time-domain diagram, and Monte Carlo methods discussed in the process of simulation BER results are basically consistent with the theoretical results. Key words: Q PSK System Simulation Monte Carlo Analysis of M atlab Platform: |
Size: 1070080 |
Author:zhanghuan |
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Description: 数字信号的传输：1、实现滚降系数分别为0，0.5，1时信号时域频域和功率谱密度以及眼图的波形，并比较异同。
2、对(2/4/8)PSK,DPSK通信系统进行蒙特卡罗仿真，通过功率谱密度、误比特率来比较他们的性能(采用最佳接收方式)。
-Digital signal transmission: 1, to achieve roll-off coefficients were 0,0.5,1 time domain when the signal frequency and power spectral density, as well as eye-diagram of the waveform, and compare the similarities and differences. 2, (2/4/8) PSK, DPSK communication system, Monte Carlo simulation, through the power spectral density, bit error rate to compare their performance (to adopt the best way to receive). Platform: |
Size: 14336 |
Author:dxc |
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Description: 目标跟踪中的粒子滤波器进行了100次Monte carlo 仿真（输出航迹图和误差曲线）-Target tracking in a particle filter 100 Monte carlo simulation (output track map and the error curve) Platform: |
Size: 2048 |
Author:fuxiao |
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Description: Ｍ＝４正交信号时数字通信系统进行蒙特卡罗仿真程序，当均值分别等于０，０.１，１.０，２．０时完成１００００个比特的仿真并求出误比特概率。绘出理论误码率和蒙特拉罗仿真的差错率并进行比较这俩个结果，并绘出每个均值情况下判决器的１０００个接受信噪比抽样-M = 4 orthogonal signals in digital communication systems Monte Carlo simulation program, when the mean, respectively, equivalent to 10,000 completed 0,0.1,1.0,2.0 simulation bit and bit error probability are obtained. Mapping theory and蒙特拉罗BER simulation这俩error rate and compare results, and the mean circumstances of each mapped Platform: |
Size: 2048 |
Author:金玲 |
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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: 准蒙特卡罗采样方法的若干国外经典文献，适合该领域入门。-Quasi-Monte Carlo sampling method of a number of foreign classical literature, suitable for entry in the field. Platform: |
Size: 6801408 |
Author:zhaolingling |
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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: This set of files show some of the principles of Monte Carlo simulations, applied in the financila industry. this si the content of the web seminar called "Simulations de Monte Carlo en MATLAB".-This set of files show some of the principles of Monte Carlo simulations, applied in the financila industry. This si the content of the web seminar called Simulations de Monte Carlo en MATLAB . Platform: |
Size: 406528 |
Author:何冰 |
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Description: 基于RBMCDA (Rao-Blackwellized Monte Carlo Data Association)方法的多目标追踪程序-RBMCDA Toolbox is software package for Matlab consisting of multiple target tracking methods based on Rao-Blackwellized particle filters. The purpose of the toolbox is provide a testing platform for constructing multiple target tracking applications based on the provided RBMCDA (Rao-Blackwellized Monte Carlo Data Association) algorithms. Platform: |
Size: 116736 |
Author:sayyou |
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Description: 以“一主三从”主从多机通信系统为物理模型，研究应用马尔可夫链建立仿真算法及蒙特卡洛法建立了数学模型，通过将完整的系统元件化，并对每个元件创立各自的状态转移机模型，仿真运行状态，实现了对于这一通信系统的可靠性建模评估。-" One the main three from the" master-slave multi-communication system for the physical model to study the application of Markov chain Monte Carlo simulation algorithm and the mathematical model established through the will of a complete system components, and the creation of each component their respective state transition model, the simulation run, and the realization of a communication system for the assessment of the reliability of modeling. Platform: |
Size: 17408 |
Author:pobenliu |
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