Description: Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing book corresponding implementation procedures, there is a good understanding of the book talking about the theory help group, this book is to learn sparse coding and compressed sensing a very good book
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Chapter_10_Shrinkage_Rho.m
Chapter_10_Deblurring.m
Chapter_10_Create_Atom_Examples.m
Chapter_09_TV_vs_Heaviside.m
Chapter_08_BP_vs_DS.m
Chapter_07_ShowTheGap2.m
Chapter_07_ShowTheGap1.m
Chapter_06_Iterated_Shrinkage.m
Chapter_06_IS_Sanity_Check.m
Chapter_05_TwoEps_Noise_demo.m
Chapter_05_No_Uniqueness_Noise_demo.m
Chapter_05_LARS_vs_OMP.m
Chapter_05_LARS_DEMO.m
Chapter_05_LARS.m
Chapter_05_IRLS.m
Chapter_04_TwoOrthoBP_Proof.m
Chapter_04_Bounds.m
Chapter_03_WeakMP_efficiency.m
Chapter_03_IRLS_noNoise.m
Chapter_03_Demo_Relaxation.m
Chapter_03_Demo_Greedy.m
Chapter_02_picketfence.m
Chapter_02_GrassDemo.m
Chapter_02_DesignFrame.m
Chapter_01_normDescroption.m
Chapter_01_LpLq_demo.m
Chapter_01_3D_spheres.m
redundancy.fig
rate_distortion_DB.fig
rate_distortion.fig
Chapter_15_Local_MCA_KSVD.asv
Chapter_15_CoreInpainting3KSVD.asv
Chapter_14_KSVDGlobalDenoising.asv
Chapter_14_KSVDdenoising.asv
Chapter_12_Demo2.asv
Chapter_12_Demo1.asv
Chapter_11_Graphs.asv
Chapter_10_Deblurring.asv
Chapter_07_ShowTheGap1.asv
Chapter_06_Iterated_Shrinkage.asv
Chapter_06_IS_Sanity_Check.asv
Chapter_05_TwoEps_Noise_demo.asv
Chapter_05_LARS_DEMO.asv
Chapter_03_WeakMP_efficiency.asv
private\make.m
.......\myblas.c
.......\myblas.h
.......\omp2mex.c
.......\omp2mex.m
.......\ompcore.c
.......\ompcore.h
.......\ompmex.c
.......\ompmex.m
.......\ompprof.c
.......\ompprof.h
.......\omputils.c
.......\omputils.h
.......\printf.m
.......\ompmex.mexw32
.......\omp2mex.mexw32
readme.txt
TextImage4.png
TextImage3.png
TextImage2.png
TextImage1.png
peppers256.png
lena.png
fingerprint.png
Child.png
BuildingImage3.png
BuildingImage2.png
BuildingImage1.png
barbara.png
temp.mat
Results1.mat
Chapter_14_GlobalTrainedDictionary.mat
Chapter_12_Demo1.mat
Chapter_10_DataCameraman.mat
omp.m
omp2.m
ifht.m
fht.m
Chapter_15_ScaleUp_Training_and_Testing2.m
Chapter_15_ScaleUp_Training_and_Testing1.m
Chapter_15_ScaleUp_Main.m
Chapter_15_Local_MCA_KSVD.m
Chapter_15_ImpulseNoiseRemoval.m
Chapter_15_CoreInpainting3KSVD.m
Chapter_15_CoreInpainting2MOD.m
Chapter_15_CoreInpainting2KSVD.m
Chapter_15_CoreInpainting1.m
Chapter_15_CoreInpainting0.m
Chapter_14_NLMDenoising.m
Chapter_14_Local2.m
Chapter_14_Local1.m
Chapter_14_KSVDGlobalDenoising.m
Chapter_14_KSVDdenoising.m
Chapter_14_Global_SURE.m
Chapter_14_Global.m
Chapter_13_AverageL.m
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