Description: 通过Monte Carlo仿真，说明DS扩频信号在抑制正弦干扰方面的有效性。用一均匀随机数发生器产生某个二进制信息符号的序列，每个信息比特重复Lc次。
包含文件：DS_restrain_interference.M
SS.M-through Monte Carlo simulation, note DS spread spectrum signal sinusoidal interference in inhibiting the effectiveness. Using a uniform random number generator produce a binary sequence information symbols, each bit of information to repeat Lc times. Documents include : DS_restrain_interference.M SS.M Platform: |
Size: 1024 |
Author:杨絮 |
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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: this demo is to show you how to implement a generic SIR (a.k.a. particle, bootstrap, Monte Carlo) filter to estimate the hidden states of a nonlinear, non-Gaussian state space model.-this demo is to show you how to implement a ge neric SIR (a.k.a. particle, the bootstrap. Monte Carlo) filter to estimate the hidden stat es of a nonlinear. non-Gaussian state space model. Platform: |
Size: 6144 |
Author:大辉 |
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Description: 用MATLAB编写的蒙特卡罗算法,用于检测光子成象.非常不错,大牛编写!!!!开发环境:MATLAB-using MATLAB Monte Carlo algorithm for detecting photon imaging. Very good. large cattle prepared! ! ! ! Development environment : MATLAB Platform: |
Size: 3072 |
Author:丁慢 |
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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: 使用蒙特卡罗方法计算积分和体积的Matlab代码,适合初学者。-calculated using the Monte Carlo method and size of the integration of Matlab code for beginners. Platform: |
Size: 1024 |
Author:宋仁栋 |
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Description: 蒙特卡罗程序，是个matlab m文件的程序，可以直接调试运行
-Monte Carlo procedure is a Matlab m documentation procedures, and can directly debugging operation Platform: |
Size: 2048 |
Author:liurui |
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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: 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: 这是monte carlo粒子滤波的一个实例程序，对于学习卡尔曼滤波和粒子滤波都有很大帮助-This monte carlo particle filter is an example of procedures for the study of Kalman filtering and particle filter are very helpful Platform: |
Size: 8192 |
Author:ZhangGeng |
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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: pMatlab is a toolsbox from MIT for running matlab in parallel style on a multi-core PC or a cluster environment. These two documents summary the usage of pMatlab and running time measurements on three simple Monte Carlo simulation codes. Platform: |
Size: 58368 |
Author:wei yu |
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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: 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 matlab