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ChapterVIIofthematlabgraphics
这是一份MATLAB基础课件,由于我也是初学者,这部课件讲的很浅显,但比较适合初学者对MATLAB所有功能的一个初步了解内容包括涵数值数组及其运算, M文件和面向对象编成, 字符串数组, 符号变量, matlab 绘图 及 Simulnk动态仿真。以及两个基本浅显的程序题。此为第 7章。(This is a basic MATLAB courseware, because I am also a beginner, this software is very simple-speaking, but more suitable for beginners of all the features of MATLAB, a preliminary understanding of the content including the Han and its numerical array computing, M documents and for object into string array, variable symbols, matlab graphics and dynamic simulation Simulnk. As well as the two basic procedures for simple questions. This is Chapter 7.)
- 2009-03-22 09:06:37下载
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NumericalAnalysisUsingMATLABandExcelThirdEdition
Numerical Analysis Using MATLAB and Excel, Third Edition (Orchard, 2007)
- 2009-11-06 17:32:14下载
- 积分:1
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Decision
节点在给定的蜂窝环境中移动,判断是否发生切换。采用的是Fhmip(Node in a given cellular environment, move, to determine whether there has been switched. Uses a Fhmip)
- 2010-01-17 14:44:41下载
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merged_document
Matlab based CNN Tutorials of LANET 5 based algorithm for handwritten corrector identification
- 2013-09-28 02:10:00下载
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real_time_model
Real time simulink model for IPMSM with PI controller. Suitable for DS1104 DSP board.
- 2009-11-17 06:07:12下载
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TSP
TSP问题的matlab软件实现代码,对一些数据量大,不方面再lingo上处理的问题能够完美解决(TSP MATLAB software code, some of the large amount of data, not dealing with LINGO problems can be the perfect solution
)
- 2013-09-11 23:54:39下载
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Halfwaveinverter
Half wave inverter used in power electonics lab
- 2009-02-25 13:25:26下载
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guoming
这是一个matlab控制倒立摆的文件,其利用了模糊控制的方法。(This is a matlab inverted pendulum control of the paper, their use of fuzzy control method.)
- 2009-12-28 12:10:30下载
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ecgclassification
Ecg classfication using mat file format
- 2014-02-17 14:08:47下载
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linclass
这个是用于两类的带有类别的数据的线性分类器,是结构体类型如下判别 y(i) = 1 if W *X(:,i) + b >= 0
2 if W *X(:,i) + b < 0(his function classifies input data X using linear
discriminant function:
y(i) = argmax W(:,y) *X(:,i)+ b(y)
y
where parameters W [dim x nfun] and b [1 x nfun] are given
in model and nfun is number of discriminant functions.
In the binary case (nfun=1) the classification rule is following
y(i) = 1 if W *X(:,i)+ b >= 0
2 if W *X(:,i)+ b < 0)
- 2011-05-01 17:58:21下载
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