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matlab-for-sensor-nodes

于 2013-01-28 发布 文件大小:8KB
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  matlab code for sensor nodes

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  • dijstra
    本文件利用matlab实现dijistra算法。主要方法是标记未走完的点,然后动态优化穷举法。(This document uses MATLAB to achieve dijistra algorithm. The main method is to mark the incomplete points, and then dynamically optimize the exhaustive method.)
    2017-08-16 10:47:58下载
    积分:1
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    2008-07-07 08:28:34下载
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    说明:  这是在网上下的一个东东,很有用的,现在拿来和大家共享,是《参数估计和逆问题》的matlab程序(This is the Internet under a Dongdong, very useful, and we used to share, "parameter estimates and the inverse problem" Matlab procedures)
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    积分:1
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    管理员您好,这是最新的期刊论文,学生初学软件,没有比较高深的程序源代码,希望您能满意(Administrator hello, this is the latest journal papers, students begin to learn the software, there is no more profound source code, I hope you enjoy)
    2011-11-12 08:53:30下载
    积分:1
  • yiqunsuanfa1
    能够实现蚁群算法寻优的程序,可以直接运行,运行后出来收敛图(Ant colony optimization algorithm can achieve a program that can be run directly after running out of the convergence plan)
    2020-10-08 14:47:38下载
    积分:1
  • W5
    说明:  视频帧序列实现基于GMM(高斯混合模型)的背景建模(Video frame sequence implementation based on GMM (Gauss mixture model) background modeling)
    2016-01-17 22:29:32下载
    积分:1
  • newmark
    Newmark法是一种逐步积分的方法,避免了任何叠加的应用,能很好的适应非线性的反应分析。(The Newmark method is a method of gradual integration, which avoids any superimposed application and can be well adapted to the nonlinear reaction analysis.)
    2021-04-19 09:48:51下载
    积分:1
  • dspbuilder1111123445
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    2007-12-20 09:27:34下载
    积分:1
  • final
    本文使用三维FDTD算法实现文献《Application of the three_Dimensional Method to the analysis if Planar Microtrip Circuits》IEEE trans. On MTT 1990 38(7)的一个矩形微带贴片天线的S11参数的计算。采用MATLAB编程完成数值计算,并与文中的结果进行了比较。(This three-dimensional FDTD algorithm using the document " Application of the three_Dimensional Method to the analysis if Planar Microtrip Circuits" IEEE trans. On MTT 1990 38 (7) of a rectangular microstrip patch antenna of the S11 parameter of the calculation. Complete the numerical calculation using MATLAB programming, and with the text of the results were compared.)
    2011-06-11 16:48:18下载
    积分:1
  • 101259363Desktop
    传统的K-medoids聚类算法的聚类结果随初始中心点的 不同而波动,且计算复杂度较高不适宜处理大规模数据集; 快速K-medoids聚类算法通过选择合适的初始聚类中心改进 了传统K-medoids聚类算法,但是快速K-medoids聚类算法 的初始聚类中心有可能位于同一类簇。为了克服传统的K- medoids聚类算法和快速K-medoids聚类算法的缺陷,提出 一种基于粒计算的K-medoids聚类算法。(The traditional K-medoids clustering algorithm clustering results with different initial center points and volatility, and high computational complexity is not suitable for processing large data sets; K-medoids clustering algorithm by choosing proper initial cluster centers to improve the traditional K-medoids clustering algorithm, but the initial cluster center of K-medoids clustering algorithm can be located in the same cluster. In order to overcome the shortcomings of the traditional K- medoids clustering algorithm and the fast K-medoids clustering algorithm, a K-medoids clustering algorithm based on granular computing is proposed.)
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    积分:1
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