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马尔可夫蒙特卡罗方法原理及MATLAB仿真入门级教程 适合新手-The Markov Chain Monte Carlo
Simulations
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应用matlab处理统计学问题，含蒙特卡洛算法以及最大似然估计-Statistical analysis and simulation using MATLAB,Monte Carlo simulation and Newton-Raphson method to obtain maximum likelihood estimators are covered.
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详细的蒙特卡洛算法介绍及matlab程序开发-Detailed Monte Carlo algorithm matlab program presentation and development
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This the MATLAB code that was used to produce the figures and tables in Section V of
F. Forbes and G. Fort, Combining Monte Carlo and mean-field like methods for inference
in Hidden Markov Random Fields, Accepted for publication in IEEE Trans. on
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这个是多幅度信号仿真，使用的的是蒙特卡罗仿真方法，就是用很多次实验的到的结果仿真理论值。-This is a multi-amplitude signal simulation. Use of the Monte Carlo simulation method is to use a lot of experiments to simulate the results of the theoretical value
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Monte Carlo 与matlab 程序实现-Monte Carlo and matlab program implements
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Monte Carlo MATLAB code should be used for Communication Simulation
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Monte Carlo Simulation Code with MATLAB
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用蒙特卡洛方法对QPSK进行仿真，基于MATLAB平台(QPSK simulation using Monte Carlo method, based on the MATLAB platform)
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