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han_eso
自抗扰控制器扩张状态观测器代码,离散模型(ADRC ESO code)
- 2020-12-09 16:19:19下载
- 积分:1
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matlAB-ge-zhong-bian-huan
基于matlAB的切比雪夫、FFT频谱分析、FFT线性卷积、巴特沃斯程序代码,自己编写的(Based on The Chebychev matlAB the FFT spectrum analysis, FFT linear convolution code Butterworth own written)
- 2013-01-16 18:06:35下载
- 积分:1
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FM
说明: This is code to simulation of AM, FM, PSK, QAM modulation
- 2014-11-29 12:25:28下载
- 积分:1
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Blatt1
getFnumber and round_fix one point
- 2011-12-21 23:39:53下载
- 积分:1
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matlab
matlab课程设计,基于matlab的图像处理课程设计(matlab)
- 2010-07-02 18:15:13下载
- 积分:1
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ADAPTIVECODE
these code are about adaptive filter.
- 2009-03-14 12:59:49下载
- 积分:1
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Fresnel diffraction
给出不同情况下单缝菲涅尔衍射的光强分布图和灰度图(The intensity distribution and grayscale map of single Ja Faye Nel diffraction under different conditions are given.)
- 2018-01-15 18:13:20下载
- 积分:1
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ADRC-chengxu
ADRC算法,根据韩京清的自抗扰技术慢慢看,含有王久和的交流电动机的非线性控制一起看(The ADRC algorithm, based on ADRC technology slowly to see Han Jingqing, nonlinear control with AC motor king long and together with the ADRC algorithm, based on ADRC technology slowly to see Han Jingqing, nonlinear control with AC motor and the king long together)
- 2014-02-20 22:46:02下载
- 积分:1
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array_line
均匀圆阵的波束扫描代码,可以任意设置阵元个数和半径(Uniform circular array beam scan code, can be set arbitrarily array element number and radius)
- 2013-06-19 08:58:50下载
- 积分:1
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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
- 积分:1