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reynoldswending
解析法建立挤压油膜阻尼器稳态数学模型并仿真特性关系(Analytical method SFD to establish steady-state characteristics of the mathematical model and simulation relations)
- 2009-04-26 17:10:32下载
- 积分:1
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FB-AODV_1.1
说明: 这个是一个经典的算法AODV 可以帮助您算法实现
(AODV CORDING THIS IS VERY )
- 2011-03-20 15:49:41下载
- 积分:1
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cal_k
calculate the DFT Coeff index array
- 2009-06-07 09:21:01下载
- 积分:1
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02chapter1
image thesis introduction
- 2011-05-24 20:28:20下载
- 积分:1
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Npsopudn
partical swarm optimization method for optimize antenna array...
- 2013-08-14 19:30:14下载
- 积分:1
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jpg.pdf
matlab jpeg压缩代码文档。包括一些基本jpeg知识和常见开发问题(matlab jpeg compression code document. Jpeg, including some of the basic knowledge and common development)
- 2008-12-12 10:32:18下载
- 积分:1
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1
说明: 为了提高认知无线电中感知用户对授权用户(主用户) 的检测概率,提出一种新的基于循环
谱统计量的主用户信号检测算法. 该算法利用循环谱离散频域平滑方法,对信号的循环谱在循环频
率处建立合理的检测统计量,然后求解得到对应不同虚警概率的判决门限,以使感知用户能检测信
噪比更低的授权用户信号.(To increase the detection probability of sensing users for licenced users (primary signals) in
the cognitive radio , it put s forward a new primary users signal method based on cyclic spect rum statis2
tics. By using discrete f requency smoothing of cyclic spect rum , this algorithm establishes the reason2
able detection statistics on the cyclic f requency of signal cyclic spect rum , then solves and obtains the
decision threshold correspond to different false alarm probability , as a result , making the sensing users
can detect licenced users signal under lower signal in noise ratio (SNR) .)
- 2010-04-14 20:26:37下载
- 积分:1
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grid-computing
清华大学博士论文仿真程序代码(电网计算)(Tsinghua University doctoral thesis simulation code (grid computing))
- 2011-09-04 11:23:11下载
- 积分:1
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EMD
自己写的matlab源码,实现EMD分解,原始的EMD分解代码,简单实用。(Write their own Matlab source, EMD decomposition, the original EMD decomposition code, simple and practical.)
- 2013-05-19 22:46:38下载
- 积分:1
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Kalmanfilter
说明: 仿真方法:1.在Matlab命令窗口中输入:TargetTracke(0,0);进行跟踪实验仿真;
2.为了体现本文的重点,即模型切换的重要性,在Matlab命令窗口中输入:argetTracke(0,1);可以观看如果不采用模型切换的仿真结果;3.在Matlab命令窗口中输入:Mentecarlo;进蒙特卡洛仿真;
(kalman filter simulate)
- 2009-08-29 17:26:25下载
- 积分:1