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- matlab
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- Update:
- 2018-01-05
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- 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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File list (Check if you may need any files):
Filename | Size | Date |
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images\barbara.png | 185727 | 2001-07-12
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images\boats.png | 177762 | 2001-07-12
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images\house.png | 34985 | 2005-09-11
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images\lena.png | 151199 | 2009-10-04
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images\peppers256.png | 40181 | 2002-08-29
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images\PWCImage.png | 8601 | 2011-11-01
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AddOneElement.m | 2304 | 2012-10-28
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AnalysisKSVD.m | 6301 | 2013-10-16
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col2imstep.c | 3924 | 2011-05-16
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col2imstep.m | 1001 | 2011-05-16
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col2imstep.mexw32 | 7680 | 2011-05-16
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ComputeOrthoSet.m | 1063 | 2012-10-28
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Contents.m | 3115 | 2012-10-28
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countcover.m | 1178 | 2011-05-16
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dictdist.m | 2117 | 2012-10-27
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DisplayOmega.m | 1268 | 2012-10-28
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ErrorBGP.m | 2064 | 2012-10-28
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GenerateAnalysisSignals.m | 2243 | 2012-10-28
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GenerateOmegaDIF.m | 1346 | 2012-10-28
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GenerateRandomRow.m | 966 | 2012-10-28
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im2colstep.c | 3388 | 2011-05-16
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im2colstep.m | 1341 | 2011-05-16
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im2colstep.mexw32 | 7168 | 2011-05-16
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multcols.m | 79 | 2013-10-16
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multrows.m | 78 | 2013-10-16
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normcols.m | 371 | 2010-07-08
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normrows.m | 365 | 2010-07-08
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RankBGP.m | 1898 | 2012-10-28
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readme.txt | 703 | 2012-10-28
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TestKSVDNaturalImages.m | 3630 | 2013-10-16
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TestKSVDOmegaDIF.m | 2283 | 2012-10-28
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TestKSVDPWCImage.m | 3419 | 2013-10-16
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TestKSVDRandomOmega.m | 1645 | 2012-10-28
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TestPursuitOmegaDIF.m | 4070 | 2013-10-16
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images | 0 | 2013-10-16 |