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EJERCICIOS_FILTROS_DSP
Diseñ o de un filtros en matlab
- 2011-09-24 06:23:09下载
- 积分：1
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segmentiris
Edge detection result should be enhanced using linear method like Median filter to
remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the
centre of the pupil by counting the number of black pixels (zero value) of each column and
row. Then get each row and column that has the maximum number of these black pixels.
Then determine the center by simple calculation according to the image coordinate to set it
correct on the image, consequently we can determine the radius of the pupil. Thus we can find
the pupillary boundary (inner). A similar procedure is extended by using a coarse scale to
locate the outer boundary (limbus) which can be apparent by using the mid-point algorithms
of circle and ellipse.
- 2011-11-18 01:57:19下载
- 积分：1
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kmeans
说明： 数据聚类，主要对于数据点进行聚类，输出节点分类情况和节点中心(Data clustering, mainly for data points clustering, output node classification and node Center)
- 2020-05-16 19:19:01下载
- 积分：1
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m_code
1.产生阶数为n的m序列。
2.测试阶数为n的m序列是否满足m序列性质。（与相应的m序列生成程序配合使用。实现检测效果）(1. Generate the order number n, m sequence. 2. Testing the order of n-m-sequence satisfies the nature of m sequences. (With the corresponding m-sequence generation program used in conjunction. To achieve detection results))
- 2009-12-17 11:02:49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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basic-functions
marginal_hht, marginal_power_hht,phase difference
- 2015-02-03 00:23:54下载
- 积分：1
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Folder
能够见汉字转为拼音，并且速度很快，可以很好的将文字进行转化(脛脺 鹿 禄录 没 潞 潞 脳 脰 脳 陋 脦 陋 脝)
- 2007-07-26 09:48:01下载
- 积分：1
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ICA
基于负熵最大的独立分量分析算法，可以将独立的混合信号分离(Based on the negative entropy of the largest independent component analysis algorithm can be a separate mixed-signal separation)
- 2009-11-26 21:19:41下载
- 积分：1
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LDPCDECODE
LDPC码 做毕业论文要用的码 不太好编 希望各位借鉴加以改正(LDPC)
- 2009-12-28 16:57:54下载
- 积分：1
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plot_hht
Hilbert-Huang Transform
- 2009-06-30 15:30:32下载
- 积分：1
