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Title: AnalysisKSVDbox Download
  • Category:
  • matlab
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  • File Size:
  • 611kb
  • Update:
  • 2018-01-05
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  • 0 Times
  • Uploaded by:
  • 刘董华
 Description: K-SVD can be regarded as a generalized form of K-means. The total K-means algorithm can only approximate one signal for each semaphore, and each signal in K-SVD is a linear combination of multiple atoms To express. K-SVD through the construction of the dictionary to sparse data representation, often used for image compression, encoding, classification and other applications.
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FilenameSizeDate
images\barbara.png 185727 2001-07-12
images\boats.png 177762 2001-07-12
images\house.png 34985 2005-09-11
images\lena.png 151199 2009-10-04
images\peppers256.png 40181 2002-08-29
images\PWCImage.png 8601 2011-11-01
AddOneElement.m 2304 2012-10-28
AnalysisKSVD.m 6301 2013-10-16
col2imstep.c 3924 2011-05-16
col2imstep.m 1001 2011-05-16
col2imstep.mexw32 7680 2011-05-16
ComputeOrthoSet.m 1063 2012-10-28
Contents.m 3115 2012-10-28
countcover.m 1178 2011-05-16
dictdist.m 2117 2012-10-27
DisplayOmega.m 1268 2012-10-28
ErrorBGP.m 2064 2012-10-28
GenerateAnalysisSignals.m 2243 2012-10-28
GenerateOmegaDIF.m 1346 2012-10-28
GenerateRandomRow.m 966 2012-10-28
im2colstep.c 3388 2011-05-16
im2colstep.m 1341 2011-05-16
im2colstep.mexw32 7168 2011-05-16
multcols.m 79 2013-10-16
multrows.m 78 2013-10-16
normcols.m 371 2010-07-08
normrows.m 365 2010-07-08
RankBGP.m 1898 2012-10-28
readme.txt 703 2012-10-28
TestKSVDNaturalImages.m 3630 2013-10-16
TestKSVDOmegaDIF.m 2283 2012-10-28
TestKSVDPWCImage.m 3419 2013-10-16
TestKSVDRandomOmega.m 1645 2012-10-28
TestPursuitOmegaDIF.m 4070 2013-10-16
images 0 2013-10-16

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