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AppendixMATLAB

于 2006-10-21 发布 文件大小:160KB
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  Appendix MATLAB 程序设计基础附录(Appendix Appendix Design Basis)

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  • MKT
    这是Mann-kendall趋势检验和sen斜率估计的matlab实现的源代码,与大家共享!(This is the Mann-kendall trend test and the estimated slope sen achieved Matlab source code and share!)
    2021-03-17 10:29:21下载
    积分:1
  • Exercise1
    Computational modeling
    2014-09-09 17:24:24下载
    积分:1
  • yy5
    利用小波对信号进行消噪处理 将消噪后的信号与原始信号进行了对比(Using wavelet signal denoising processing the signal with the original signal denoised compared)
    2012-08-22 14:32:52下载
    积分:1
  • Matlab---Optimisation-Toolbox
    matlab智能控制工具箱的详细说明,模糊,预测,神经网络等(Matlab- Optimisation Toolbox- User´ s Guide)
    2012-10-18 21:19:44下载
    积分:1
  • 11004192
    说明:  Distributing advanced technique for the cockpit.
    2020-06-22 13:20:02下载
    积分:1
  • tupian
    本文件里面是Costas环跟踪信号的几幅图,对于加深理解有所一定的帮助。()
    2007-08-05 12:42:31下载
    积分:1
  • zhidianyundong
    这是MATLAB的界面—GUI的几个例子,直接打开就能用。(This is the MATLAB interface- GUI examples, can be used to open directly.)
    2007-04-23 17:55:46下载
    积分:1
  • quxiannihe
    Matlab中两组数的曲线拟合,一般采用多项式拟合(curve fitting using a couple of datas)
    2011-10-17 15:47:59下载
    积分:1
  • 最新的支持向量机工具箱,有了它会很方便-svm_v0.55beta
    最新的支持向量机工具箱,有了它会很方便 1. Find time to write a proper list of things to do! 2. Documentation. 3. Support Vector Regression. 4. Automated model selection. REFERENCES ========== [1] V.N. Vapnik, "The Nature of Statistical Learning Theory", Springer-Verlag, New York, ISBN 0-387-94559-8, 1995. [2] J. C. Platt, "Fast training of support vector machines using sequential minimal optimization", in Advances in Kernel Methods - Support Vector Learning, (Eds) B. Scholkopf, C. Burges, and A. J. Smola, MIT Press, Cambridge, Massachusetts, chapter 12, pp 185-208, 1999. [3] T. Joachims, "Estimating the Generalization Performance of a SVM Efficiently", LS-8 Report 25, Universitat Dortmund, Fachbereich Informatik, 1999. (The newest work tools of svm,it will be very convenient to have it.)
    2005-03-29 14:06:00下载
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  • lssvm
    lssvm All plotting is done with this simple command. It looks for the best way of displaying the result
    2017-07-06 11:19:56下载
    积分:1
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