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duomeiti
bicubic.m bilinear.m nearest.m多媒体实验m文件 用matlab软件实现(bicubic.m bilinear.m nearest.m)
- 2010-06-27 09:48:23下载
- 积分:1
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MATLAB-optimization
《精通MATLAB最优化计算》一书中各章实例的源代码程序(" Mastering MATLAB optimization calculations," a book chapter example source code of the program)
- 2011-10-17 19:55:35下载
- 积分:1
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ElectronicsandCircuitAnalysisusingMATLAB
应用matlab来分析电子电路的教程。
全书包括十二个章节。(Application of matlab to analyze electronic circuits tutorial. Book includes 12 chapters.)
- 2007-12-03 02:26:51下载
- 积分:1
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111
MatlabSimulink通信系统建模与仿真实例分析程序源代码和模型(MatlabSimulink communication system modeling and simulation analysis of source code examples and models)
- 2009-05-26 17:54:16下载
- 积分:1
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gbvs-(1)
该代码是在MATLAB下运行的GBVS,用于图像特征点匹配,进一步用于图像处理,图像检索等多个领域。(GBVS the code is run in MATLAB for image feature point matching, and further used in various fields of image processing, image retri .)
- 2014-10-22 18:53:34下载
- 积分:1
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test6
说明: matlab实验 用给定的多项式,y=x3-6x2+5x-3,产生一组数据(xi,yi,i=1,2,…,n),再在yi上添加随机干扰(可用rand产生(0,1)均匀分布随机数,或用rands产生N(0,1)分布随机数),然后用xi和添加了随机干扰的yi作的3次多项式拟合,与原系数比较。
如果作2或4次多项式拟合,结果如何?
(matlab experiment with a given polynomial, y = x3-6x2+5 x-3, generated a set of data (xi, yi, i = 1,2, ..., n), then add random noise in yi (available rand generation (0,1) uniformly distributed random number, or rands generated N (0,1) random numbers), then xi and yi to add a random disturbance polynomial fitting for the three times, compared with the original coefficient . If 2 or 4 times for polynomial fitting, the result?)
- 2010-04-22 20:27:58下载
- 积分:1
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Scale-freeInternetsimulation
无标度Internet网络仿真,代码比较精炼,请仔细阅读(without scaling Internet network simulation, code comparison refining, please read carefully)
- 2007-06-16 10:36:11下载
- 积分:1
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PCA_2D
2 dimensional PCA code
- 2013-04-25 13:32:08下载
- 积分:1
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rungekuta
使用4阶龙格库塔以及样条函数分析处理数据(The use of four order runge kutta and spline function analysis data)
- 2013-12-02 19:38:16下载
- 积分:1
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A_Brief_Tutorial_on_Interval_Type-2_Fuzzy_Sets_an
This tutorial illustrates the basic ideas of interval type-2 (IT2) fuzzy sets and systems, and provides a Matlab
implementation of IT2 fuzzy logic system (FLS). One obstacle in learning IT2 fuzzy logic is its complex notations.
In this tutorial we try to avoid these notations and give the reader some intuitive understanding of IT2 FLSs. We
also briefl y discuss approaches for reducing the computational cost of IT2 FLSs and the fundamental differences
between IT2 and type-1 FLSs.
- 2013-04-28 16:13:37下载
- 积分:1