Description: 是Ergodic Capacity Analysis of Amplify-and-Forward MIMO Dual-Hop Systems这篇论文的对应容量仿真源代码,模型是AF MIMO双跳系统模型,可以支持任意的天线数量,还带有蒙特卡罗仿真的源代码。-Yes Ergodic Capacity Analysis of Amplify-and-Forward MIMO Dual-Hop Systems of this paper corresponds to the capacity simulation of the source code, the model is two-hop AF MIMO system model can support an arbitrary number of antennas, but also with a Monte Carlo simulation of the source code. Platform: |
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Author:chunfei1987 |
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Description: In this paper, a novel demodulation structure in
high-frequency (HF) channel is introduced and studied.Frequency-offset estimation, ractionally spaced adaptive equalization and carrier recovery techniques are involved.Frequency-offset correction is carried out based on channel impulse response estimation. ractionally spaced adaptive equalization and carrier recovery are combined with nonlinear decision feedback loop structure and the initial value
of tap coefficients of equalization are obtained from the previous channel estimation. Simulation is conducted under channel parameters with respect to MIL-STD-188-110B using a Monte Carlo technique. The results show this novel demodulation structure is feasible and efficient in HF channel, the symbol error ratio can reach to 10− 3 in 12dB SNR.-In this paper, a novel demodulation structure in
high-frequency (HF) channel is introduced and studied.Frequency-offset estimation, ractionally spaced adaptive equalization and carrier recovery techniques are involved.Frequency-offset correction is carried out based on channel impulse response estimation. ractionally spaced adaptive equalization and carrier recovery are combined with nonlinear decision feedback loop structure and the initial value
of tap coefficients of equalization are obtained from the previous channel estimation. Simulation is conducted under channel parameters with respect to MIL-STD-188-110B using a Monte Carlo technique. The results show this novel demodulation structure is feasible and efficient in HF channel, the symbol error ratio can reach to 10− 3 in 12dB SNR. Platform: |
Size: 186368 |
Author:Lin |
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Description: 本程序和文件主要用蒙特卡洛的思想来仿真骰子投掷事件发生的概率。用增加投掷次数的方法来逼近实际。-This procedure, and the paper s main ideas to use the Monte Carlo simulation of the probability of dice throwing incident. With the increase in the number of ways to throw close to the actual. Platform: |
Size: 114688 |
Author:zonglichen |
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Description: 本文针对并行干扰抵消检测器的不足之处,提出了改进的并行干扰抵消检测算法——基于多项式展开的并行干扰抵消多用户检测算法。该算法将多项式展开检测器作为并行干扰抵消检测器第一级的数据估计值,以提高检测可靠性。通过仿真实验,首先验证了多项式展开检测器的性能。然后比较改进算法与传统检测器的性能,验证改进算法的系统性能得到明显改善;并与并行干扰抵消检测器、解相关检测器和MMSE检测器相比较,验
证得到该改进算法的性能也有不同程度的改善。
-this paper discusses the principle and performance of the
conventional detector and the parallel interference cancellation(PIC)detector
separately.Since the conventional detector take MAI only as the background noise without considering the existence of the other users,the existence of MAI has a significant impact on the performance of CDMA systems.Each stage of PIC detector utilizes the data estimates of the initial or previous stage,produces a new set of MAI estimates,and then subtracts out all of the MAI for each user in parallel.Through Monte Carlo simulation in different scenarios,the results illustrate the influence of MAI in conventional CDMA ystems.Theexperimental results show PIC detector can effectively eliminate MAI andimprove the system BER.
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Author:bluels123 |
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Description: 用仿真模型可以对企业生产、销售进行决策,从而采用最合理的生产或销售方案。本课题论文运用蒙特卡洛仿真方法对SY公
司生产订单排产系数进行仿真分析,探讨是否应进行改进。-With a simulation model for enterprise production, marketing decision-making, so the most reasonable program of production or sales. This issue paper on the use of Monte Carlo simulation method produced SY coefficient Order Scheduling simulation analysis to examine the feasibility should be improved. Platform: |
Size: 243712 |
Author:李学兵 |
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Description: 论文基于BP神经网络_蒙特卡罗模拟与核估计的经济增长预测研究-Paper, based on BP neural network _ Monte Carlo simulation and nuclear estimates of the economic growth forecast
Platform: |
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Author:武开 |
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Description: Particle filtering is an non-parameterized algorithm via sequential Monte Carlo simulation to actualize bayesian estimation.
This paper expatiated the development and the research status of particle filtering at present.Then,introduces and
analyses the principle of particle filtering、the existed key problems and countermeasures in detail.Furthermore,it sum
up eleven improved methods of particle filtering algorithm.Meanwhile,applications are addressed in this paper.Finally
,the prospect of particle filtering is presented.
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Author:tuzi |
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Description: BPSK.m是使用蒙特卡罗仿真验证能量检测法,效仿文献中的图1。
由于运算量大,建议不运行程序,运行时要耐心等待。
该程序得出的图见n=10000.fig文件,但由于与图1不是很像,建议
论文图片附上SNR.m(理论计算画图程序)运行后的图片,程序可用BPSK.m。
T2-T6.m根据文献理论计算得出的程序,效仿文献中的图2-6,
暂时没有进行蒙特卡罗仿真。
-BPSK.m using Monte Carlo simulation of energy detection, follow the example of Figure 1 in the literature.
The large amount of computation, it is recommended not to run the program, run-time to wait.
The program plans drawn to see the n = 10000.fig file, but Figure 1 is not much like, it is recommended that
Paper picture to attach SNR.m (theoretical calculation of the Paint program) running pictures, program available BPSK.m.
According to theory, T2-T6.m calculated program, follow the example of Figure 2-6 in the literature,
No Monte Carlo simulation. Platform: |
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Author:anne |
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Description: 基于蒙特卡洛方法的主动声纳信号检测性能分析.主动声纳信号检测性能的分析上,目前在计算机仿真中一般假定混响包络的统计特性符合瑞利分布模型。基于此模型,已经有了较完善的理论。然而,在现代高分辨声纳系统中,混响包络的统计特性并不符合瑞利分布模型。此时在接收机工作特性分析时存在大量繁琐的公式推导。因此该文采用蒙特卡洛(M onte Carlo)统计试验方法,实现对瑞利分布混响背景下的主动声纳信号检测性能分析。结合对接收机工作特性曲线的仿真,得出了检测概率的理论值和仿真结果的误差曲线。误差曲线表明,蒙特卡洛方法在主动声纳信号检测的性能评估中是可行的。 更多还原
-Active sonar signal detection performance analysis, computer simulation is generally assumed that the statistical properties of the reverberation envelope distribution model of Rayleigh active sonar signal detection performance analysis based on the Monte Carlo method. Based on this model, has been a better theory. However, in the modern high-resolution sonar system, the statistical characteristics of the reverberation envelope does not comply with the Rayleigh distribution model. At this point in the receiver operating characteristic analysis, there is a lot of tedious formula derivation. In this paper, using the Monte Carlo (M onte Carlo) statistical test methods, active sonar signal detection performance analysis reverberation background Rayleigh distribution. The receiver operating characteristic curve simulation obtained the error curve of the theoretical value and the simulation results of the detection probability. The error curve shows that the Monte Carlo method in the assessm Platform: |
Size: 175104 |
Author:cooldog |
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Description: 此为一篇介绍mcmc方法的外文文献 非常适合刚刚接触mcmc方法的初学者-This paper introduces the readers of the Proceedings
to an important class of computer based simulation
techniques known as Markov chain Monte Carlo
(MCMC) methods. General properties characterizing
these methods will be discussed, but the main emphasis
will be placed on one MCMC method known as the
Gibbs sampler. The Gibbs sampler permits one to simulate
realizations from complicated stochastic models in
high dimensions by making use of the model’s associated
full conditional distributions, which will generally have
a much simpler and more manageable form. In its most
extreme version, the Gibbs sampler reduces the analysis
of a complicated multivariate stochastic model to the
consideration of that model’s associated univariate full
conditional distributions. Platform: |
Size: 464896 |
Author:long li |
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Description: 本程序是mazen.O的经典论文:Performance Analysis of two-hop ralayed transmissions over rayleigh fading channels 的文章中所附的仿真图的程序,跑出的结果和文章中的附图是一样的!可以跑出里面的三张图,包括瑞利衰落下中继信道的中断概率的蒙特卡洛及公式的仿真,及选择不同的增益的性能差别曲线!
-This program is mazen.O classic paper: Performance Analysis of two-hop ralayed transmissions over rayleigh fading channels in the article accompanying the simulation of the processes, results and articles ran in the figures are the same! You can run out of the inside of the three figures, including the Monte Carlo simulation and the formula for the outage probability of Rayleigh fading relay channel, and select a different gain performance difference curves! Platform: |
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Author: |
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Description: 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 Image
Processing, 2006.
1
MATLAB has the capability of running functions written in C. The files which hold the source
for these functions are called MEX-Files. Some functions of our codes are written in C.
The purpose of this software is to implement the MCVEM algorithm, described in the paper
mentioned above, when applied to Image Segmentation. MCVEM consists in combining approximation
techniques - based on variational EM - and simulation techniques - based on MCMC
-.
This software is the first version that is made publicly available.
2 How to
2.1 Obtain the source code
Download it from
http://www.tsi.enst.fr/gfort/INRIA/MCVEM.html
After unpacking the archive, you should obtain
• two-This is 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 Image
Processing, 2006.
1
MATLAB has the capability of running functions written in C. The files which hold the source
for these functions are called MEX-Files. Some functions of our codes are written in C.
The purpose of this software is to implement the MCVEM algorithm, described in the paper
mentioned above, when applied to Image Segmentation. MCVEM consists in combining approximation
techniques - based on variational EM - and simulation techniques - based on MCMC
-.
This software is the first version that is made publicly available.
2 How to
2.1 Obtain the source code
Download it from
http://www.tsi.enst.fr/gfort/INRIA/MCVEM.html
After unpacking the archive, you should obtain
• two Platform: |
Size: 692224 |
Author:jeevithajaikumar |
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Description: Abstract—In this paper, we analyzed the impact of the hardware impairments at the relay node in amplifying and forwarding based cooperative networks. Especially, the accurate expression for the outage probability is proven with respect to the level of hardware impairments for Rayleigh fading channels. Moreover, we uate the system’s performance in term of the throughput which depends on the antenna noise, transmission rate and the source’s transmission power. Finally, the Monte-Carlo simulation’s result verifies the analysis in order to propose system’s design with the acceptable impairment of hardware in physical which can ensure the communication’s quality.-Abstract—In this paper, we analyzed the impact of the hardware impairments at the relay node in amplifying and forwarding based cooperative networks. Especially, the accurate expression for the outage probability is proven with respect to the level of hardware impairments for Rayleigh fading channels. Moreover, we uate the system’s performance in term of the throughput which depends on the antenna noise, transmission rate and the source’s transmission power. Finally, the Monte-Carlo simulation’s result verifies the analysis in order to propose system’s design with the acceptable impairment of hardware in physical which can ensure the communication’s quality. Platform: |
Size: 2048 |
Author:phuoc |
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