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MATLAB
power electronics-matlab
- 2013-01-23 20:42:51下载
- 积分：1
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skeleton
用形态学中骨骼化方法实现了图像细化，为后续工作如特征点提取提供了良好的素材(Method with skeletal morphology achieved thinning, for the follow-up, such as feature extraction provides a good material)
- 2010-07-28 15:33:59下载
- 积分：1
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All_Statistics_Codes
matlab codes for statistics analysis
- 2013-10-25 06:55:53下载
- 积分：1
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rengongmianyi
a=load( q.txt )
width=input( 请输入窗宽 )
step=input( 请输入步长 )
m=length(a)
for i=1:floor((m-width)/step+1)
s(i,1:width)=a(1,1+(i-1)*step:width+(i-1)*step)
end
b=max(max(s))
M=s./b
Rs=input( 请输入本体集半径 )
nd=input( 请输入检测器数模 )
k=1
while k<=nd
d{k}=rand(1,width)
for i=1:floor((m-width)/step+1)
if (norm(d{k}-s(i,:)))^2<Rs
break
end
end
k=k+1
end
for j=1:nd
for i=1:floor((m-width)/step+1)
R(i)=(norm(d{j}-s(i,:)))^2(a = load (' q.txt' ) width = input (' Please enter the window width' ) step = input (' Enter step size' ) m = length (a) for i = 1: floor ((m-width)/step+1) s (i, 1: width) = a (1,1+ (i-1)* step: width+ (i-1)* step) end b = max (max (s)) M = s./b Rs = input (' Please enter the body set radius' ) nd = input (' Please enter the number of detector modules' ) k = 1 while k < = nd d {k} = rand (1, width) for i = 1: floor ((m-width)/step+1) if (norm (d {k}-s (i ,:)))^ 2 <Rs
break
end
end
k=k+1
end
for j=1:nd
for i=1:floor((m-width)/step+1)
R(i)=(norm(d{j}-s(i,:)))^2)
- 2011-05-21 16:46:49下载
- 积分：1
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conjugate_gradient_method
应用于机械最优化设计课程的无约束多维问题的牛顿法(Used in mechanical optimization design courses unconstrained multi-dimensional problem of Newton' s method)
- 2015-03-22 20:10:46下载
- 积分：1
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Optim_ilustrate
MATHLAB CODE FOR OPTIMAL SOLUTION
- 2013-10-25 16:10:39下载
- 积分：1
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d
说明： 自己练习编写的波动方程，不知道行不行，求指正，求批评(wave equation)
- 2013-04-15 13:27:39下载
- 积分：1
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w2_regression
machine learning方面的regression，语言是python.比较基础的资料(machine learning aspects of the syllabus, language is the python. basis of comparison data)
- 2013-12-07 23:08:44下载
- 积分：1
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PracticaSegmentacion
matlab threshold nblklkjkljlkjlkjlkj
- 2010-06-13 06:43:37下载
- 积分：1
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KALMAN
卡尔曼滤波的一个简单又实用的例子，帮助理解卡尔曼滤波。(Kalman filter, a simple and practical examples to help understand the Kalman filter.)
- 2007-11-07 22:53:38下载
- 积分：1
