Description: The K-SVD is a new algorithm for training dictionaries for linear
representation of signals. Given a set of signals, the K-SVD tries to
extract the best dictionary that can sparsely represent those signals.
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File list (Check if you may need any files):
KSVD_Matlab_ToolBox\demo1.m
...................\demo2.asv
...................\demo2.m
...................\demo3.m
...................\denoiseImage.m
...................\denoiseImageDCT.asv
...................\denoiseImageDCT.m
...................\denoiseImageGlobal.m
...................\denoiseImageKSVD.m
...................\dictionary.asv
...................\displayDictionaryElementsAsImage.asv
...................\displayDictionaryElementsAsImage.m
...................\gererateSyntheticDictionaryAndData.m
...................\heartdwiksvd.asv
...................\heartdwiksvd.m
...................\KSVD.m
...................\KSVD_NN.m
...................\MOD.m
...................\mydenoiseImage.asv
...................\mydenoiseImage.m
...................\my_im2col.m
...................\NN_BP.m
...................\OMP.m
...................\OMPerr.m
...................\README.txt
KSVD_Matlab_ToolBox
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