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.

KSVD_Matlab_ToolBox
...................\KSVD.m
...................\KSVD_NN.m
...................\MOD.m
...................\NN_BP.m
...................\OMP.m
...................\OMPerr.m
...................\README.txt
...................\barbara.png
...................\boat.png
...................\demo1.m
...................\demo2.m
...................\demo3.m
...................\denoiseImageDCT.m
...................\denoiseImageGlobal.m
...................\denoiseImageKSVD.m
...................\displayDictionaryElementsAsImage.asv
...................\displayDictionaryElementsAsImage.m
...................\gererateSyntheticDictionaryAndData.m
...................\globalTrainedDictionary.mat
...................\house.png
...................\lena.png
...................\my_im2col.m
...................\peppers256.png

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