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Title: Matlab-Package-Book Download
 Description: Sparse representation, including ksvd image denoising,Good g ood g ood g ood g ood g ood g ood g ood g ood g ood g ood g ood good
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Chapter_12_Demo1.m
Chapter_12_Demo2.m
Chapter_12_DispDict.m
Chapter_12_TrainDic.m
Chapter_12_TrainDic_Fast.m
Chapter_13_AverageL.m
Chapter_14_Global.m
Chapter_14_Global_SURE.m
Chapter_14_KSVDdenoising.m
Chapter_14_KSVDGlobalDenoising.m
Chapter_14_Local1.m
Chapter_14_Local2.m
Chapter_14_NLMDenoising.m
Chapter_15_CoreInpainting0.m
Chapter_15_CoreInpainting1.m
Chapter_15_CoreInpainting2KSVD.m
Chapter_15_CoreInpainting2MOD.m
Chapter_15_CoreInpainting3KSVD.m
Chapter_15_ImpulseNoiseRemoval.m
Chapter_15_Local_MCA_KSVD.m
Chapter_15_ScaleUp_Main.m
Chapter_15_ScaleUp_Training_and_Testing1.m
Chapter_15_ScaleUp_Training_and_Testing2.m
fht.m
Chapter_01_3D_spheres.m
Chapter_01_LpLq_demo.m
Chapter_01_normDescroption.m
Chapter_02_DesignFrame.m
Chapter_02_GrassDemo.m
Chapter_02_picketfence.m
Chapter_03_Demo_Greedy.m
Chapter_03_Demo_Relaxation.m
Chapter_03_IRLS_noNoise.m
Chapter_03_WeakMP_efficiency.m
Chapter_04_Bounds.m
Chapter_04_TwoOrthoBP_Proof.m
Chapter_05_IRLS.m
Chapter_05_LARS.m
Chapter_05_LARS_DEMO.m
Chapter_05_LARS_vs_OMP.m
Chapter_05_No_Uniqueness_Noise_demo.m
Chapter_05_TwoEps_Noise_demo.m
Chapter_06_IS_Sanity_Check.m
Chapter_06_Iterated_Shrinkage.m
Chapter_07_ShowTheGap1.m
Chapter_07_ShowTheGap2.m
Chapter_08_BP_vs_DS.m
Chapter_09_TV_vs_Heaviside.m
Chapter_10_Create_Atom_Examples.m
Chapter_10_Deblurring.m
Chapter_10_Shrinkage_Rho.m
Chapter_11_Graphs.m
Chapter_11_RandomOMP.m
Chapter_11_Synthetic.m
    

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