AnalysisKSVDbox

代码说明：

  K-SVD可以看做K-means的一种泛化形式，K-means算法总每个信号量只能用一个原子来近似表示，而K-SVD中每个信号是用多个原子的线性组合来表示的。 K-SVD通过构建字典来对数据进行稀疏表示，经常用于图像压缩、编码、分类等应用。(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.)

文件列表：

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