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其他 本代码对BPSK的误比特率性能进行了仿真
本代码对BPSK的误比特率性能进行了仿真，给出了Mente Carlo仿真结果与理论分析结果的对比。
matlab例程 对于一个使用相关器的二进制通信系统
，对于一个使用相关器的二进制通信系统，用monte carlo仿真估计Pe并且画出Pe与SNR的对比图~
matlab例程 pMatlab is a toolsbox from MIT for running matlab in parallel style on a multi-core PC or a cluster
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.
文章/文档 Electromagnetic scattering from the trees above a tilted rough ground plane generated by the stochas
Electromagnetic scattering from the trees above a tilted rough ground plane generated by the stochastic Lidenmayer system is studied by Monte Carlo simulations in this paper.The scattering coefficients are calculated in three methods:coherent addition approximation,tree-independent scattering,and in ...
*行业应用 Klaas Gadeyne, a Ph.D. student in the Mechanical Engineering Robotics Research Group at K.U.Leuven,
Klaas Gadeyne, a Ph.D. student in the Mechanical Engineering Robotics Research Group at K.U.Leuven, has developed a C++ Bayesian Filtering Library that includes software for Sequential Monte Carlo methods, Kalman filters, particle filters, etc.
技术资料 Hspcie教程
有关hspice的教程，它使电路级性能分析变得容易，并且生成可利用的Monte Carlo、最坏情况、参数扫描（sweep），数据表扫描分析，而且还使用了最可靠的自动收敛特性
数学计算 N个并列的单通道等待制系统
N个并列的单通道等待制系统，各服务员能力相等，服务时间服从指数分布，顾客的总体到达服从指数分布，用Monte－Carlo方法，按1…N的顺序循环排入
通讯/手机编程 Computes BER v EbNo curve for convolutional encoding / soft decision Viterbi decoding scheme assum
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 on ...
matlab例程 This demo shows the BER performance of linear, decision feedback (DFE), and maximum likelihood seque
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 straightforwa ...