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Problem1
2013年“高社杯”数学建模b题,对于纵向切割的图片复原。
使用方法:打开matlab,调整工作目录为解压后的文件夹,在matlab工作框中输入Problem1即可(2013 " High Society Cup" Mathematical modeling b title picture for longitudinal cutting recovery. How to use: open matlab, adjust working directory is unpacked folder work in matlab can enter Problem1)
- 2013-09-27 19:20:17下载
- 积分:1
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MATLAB-temperature-flied
实现温度场分析,matlab的温度应用提供非常好的软件程序(Achieve temperature field analysis, matlab temperature applications to provide very good software programs)
- 2013-11-11 12:38:49下载
- 积分:1
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wtb_v3
基于matlab/simulink的风力发电建模系统,里面有很多实用的模型可以直接使用(Based on matlab/simulink modeling of wind power generation system, there are many practical model can be used directly)
- 2014-05-02 09:04:18下载
- 积分:1
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quanpailie
这是我用插入法编的,绝对高效。没事可以试试,非常好用。(This is my code with the Insert method, the absolute efficiency. Nothing can try, very easy to use.)
- 2010-06-07 14:50:53下载
- 积分:1
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pll-matlab-
通信领域--锁相环原理-适合仿真学习…………。(Communications- phase-locked loop principle- suitable for simulation study ... ... ... ....)
- 2007-08-27 16:51:13下载
- 积分:1
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NCO_sine_gen
用Simulink中NCO模块产生正弦信号的程序,自己写的,采样率180MHz,正弦频率70MHz,可以直接运行。(Using Simulink module generates a sinusoidal signal of NCO program, sample rate 180MHz, sinusoidal frequency 70MHz, can be directly run.)
- 2013-08-26 19:24:51下载
- 积分:1
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matlabengine
MATLAB_Engine andC hybrid programmingmatlab引擎和c++
的混合编程实例(MATLAB_Engine andC hybrid programming)
- 2012-08-23 11:19:38下载
- 积分:1
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D-FLIP-FLOP
ANALYSIS OF D-FLIPFLOPS
- 2013-11-12 13:35:50下载
- 积分:1
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k_means
使用k-means算法对样本空间中的未分类的点进行聚类。(K-means algorithm using the sample space clustering unclassified points.)
- 2010-07-25 16:28:55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