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AGWNTest
验证在时域AWGN添加的SNR的数值等于在频域获得的SNR数值(Validation added in the time domain SNR value equal to access to the SNR in the frequency domain values)
- 2010-08-05 16:42:32下载
- 积分:1
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output_of_DCT_in_image_fusion
u can calculate DCT
clc
inp = imread( Im1.jpg )
inp1 = imread( Im2.jpg )
A = double(inp(:,:,1))
B = double(inp1(:,:,1))
A1=double(blkproc(A,[8 8], dct2 ))
B1=double(blkproc(B,[8 8], dct2 ))
[r,c] = size(A1)
r1 = []
for i=1:r
for j=1:c
if A1(i,j) > B1(i,j)
r1(i,j)=A1(i,j)
else
r1(i,j)=B1(i,j)
end
end
end
r1= double(r1(:,:,1))
C=blkproc(r1,[8 8], idct2 )
round(C)
C1=idct2(r1)
figure
imshow(uint8(C))
figure
imshow(uint8(C1))
imwrite(uint8(C), dct8x8min.jpg )
- 2011-01-09 23:26:05下载
- 积分:1
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Q10
Output of Consettaltion when SNR=10,20
- 2014-10-21 17:07:15下载
- 积分:1
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powerflowcal
说明: 一个进行潮流计算的程序代码,很基础,适合初学者。(The power flow of a program code, it is the basis for beginners.)
- 2011-03-24 19:50:29下载
- 积分:1
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signal-processing-method
一种振动信号频域处理方法,希望对大家有用(Vibration frequency domain signal processing method)
- 2012-04-07 12:03:31下载
- 积分:1
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solution
该程序实现了对于光纤中的脉冲在光纤传播的演化过程(The program implements the evolution of the optical fiber pulse propagation in optical fibers)
- 2014-02-19 11:05:25下载
- 积分:1
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von_3D
建立vonkarman自相关函数的随机介质程序(A random medium program for establishing vonkarman auto correlation function)
- 2021-01-28 17:38:35下载
- 积分:1
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otsu_2
说明: 适用Otsu方法做阈值分析。阈值决策的依据是最大类间方差,这种方法的依据就是类间方差,本程序仅仅适用与二分类问题。(thresholding algorithm using Otsu)
- 2011-03-01 14:54:09下载
- 积分:1
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Note-making-using-OCR
Note making using OCR
- 2014-08-07 12:15:08下载
- 积分:1
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kdtree
k-d树的matlab程序,包含了KDTREE, KDTREEIDX and KDRANGEQUERY functions。提供了两个Demo
scripts(kdtree_demo.m & kdrange_demo.m),很实用(
This distribution contains the KDTREE, KDTREEIDX and KDRANGEQUERY functions.
Included are the source code files in kdtree/src, as well as precompiled
mex files for the following systems:
- Mac OS X (Matlab 6.5)
- Redhat Linux (Matlab 6.5)
- Windows (Matlab 6.1)
Two demo scripts are provided (kdtree_demo.m & kdrange_demo.m).
The new features added June 2004:
+ You can now use N dimensional data points, where N>3.
+ Use KDTREEIND to return the index value to the closest point,
instead of the closest point values.
+ KDRANGEQUERY can now return these index values as well.
Written by/send comments or suggestions to :
Guy Shechter
guy at jhu dot edu
June 2004
)
- 2013-11-07 16:28:39下载
- 积分:1