文件名称:Matlab-Package-Sparse
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- 上传时间：2013-05-17
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文件大小：6.13mb
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这是Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing书中对应的实现程序，对理解书中所讲理论有很好的帮组，这本书是学习稀疏编码和压缩感知的一本很好的书-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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下载文件列表
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
private/myblas.c
private/myblas.h
private/omp2mex.c
private/omp2mex.m
private/ompcore.c
private/ompcore.h
private/ompmex.c
private/ompmex.m
private/ompprof.c
private/ompprof.h
private/omputils.c
private/omputils.h
private/printf.m
private/ompmex.mexw32
private/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
Chapter_12_TrainDic_Fast.m
Chapter_12_TrainDic.m
Chapter_12_DispDict.m
Chapter_12_Demo2.m
Chapter_12_Demo1.m
Chapter_11_Synthetic.m
Chapter_11_RandomOMP.m
Chapter_11_Graphs.m
private
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
private/myblas.c
private/myblas.h
private/omp2mex.c
private/omp2mex.m
private/ompcore.c
private/ompcore.h
private/ompmex.c
private/ompmex.m
private/ompprof.c
private/ompprof.h
private/omputils.c
private/omputils.h
private/printf.m
private/ompmex.mexw32
private/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
Chapter_12_TrainDic_Fast.m
Chapter_12_TrainDic.m
Chapter_12_DispDict.m
Chapter_12_Demo2.m
Chapter_12_Demo1.m
Chapter_11_Synthetic.m
Chapter_11_RandomOMP.m
Chapter_11_Graphs.m
private
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