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RML
说明: RML极大拟然参数估计方法辨识程序 可以很好实现 好的很(RML great natural parameter estimation method proposed identification procedure can achieve good very good)
- 2011-03-25 16:24:34下载
- 积分:1
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SRG_WT
新型开关磁阻风力发电系统研究,风力机模型,最大功率跟踪仿真(The new wind power systems research Switched Reluctance, wind turbine model, maximum power point tracking simulation)
- 2015-01-22 14:13:06下载
- 积分:1
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kopls_1.1.2
pls相关程序,论文附带 pls相关程序,论文附带(pls program, papers incidental pls, papers incidental)
- 2012-06-11 17:26:19下载
- 积分:1
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CashCode.Net.Source
CashCode protocol Visual Studio
- 2014-10-28 07:34:14下载
- 积分:1
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Night
This is for counting the vehicles in the night time traffic
- 2011-12-29 14:08:53下载
- 积分:1
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hw2_code
non-parametric identification
- 2009-12-16 17:12:31下载
- 积分:1
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Scientific-and-Engineering-CPP
Scientific and Engineering C++. Book for developing applications in C++
- 2014-12-14 23:33:51下载
- 积分:1
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shujuguanlian
数据关联是多目标跟踪的一项关键技术。JPDA是大家公认的多目标跟踪中性能较好的数据关联算法,它
认为量测和目标是一一对应的关联关系,但在许多实际情况中,量测和目标是多一多对应的关系。针对上述情况,该文提
出了广义概率数据关联算法(Generalized Probability Data Association,GPDA)。文中从理论上对这两种算法的性能进行了
详细分析,并利用Monte Carlo技术对其性能进行了仿真比较。(Data association is one of the key technologies in multi—target tracking.And JPDA is considered as the best da·
ta association method.JPDA considers the association of measurements with targets is simply one-to-one problem.But in many
practical cases,the association of measurements with targets will be multiple—to—multiple problem.For this case,a
Generalized
Probability Data Association(GPDA)algorithm is proposed in this paper.Furthermore,this paper analyzes the performance of
these two algorithms theoretically.And we give the comparative analysis of those performances by using Monte Carlo method.)
- 2010-06-23 21:21:08下载
- 积分:1
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JakesModel
关于瑞利信道的JAKES模型的MATLAB代码,输入数据经过瑞利信道后产生输出(On the Rayleigh Road JAKES model MATLAB code, the input data through the output resulting from Rayleigh Road)
- 2010-09-03 22:07:37下载
- 积分:1
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small
强大的LINGO求解最短路径问题,非常好用(Powerful LINGO to solve the shortest path problem, very easy to use)
- 2009-11-29 09:42:22下载
- 积分:1