Welcome!
The Matlab package you have downloaded was built to
reproduce most* of the figures in the book
Sparse and Redundant Representations: From Theory to
Applications in Signal and Image Processing
Written by Michael Elad (Technion, Israel), and published
by Springer in September 2010.
The various functions are organized by the chapter they
cover, and each file states clearly which figure(s) it
generates.
In writing the code, the main emphasis was put on clarity
and readability of the code, and less on its efficiency.
In certain cases, the user is encouraged and instructed
how to modify the code to speed-up the algorithms. This
is esspecially true for the dictionary larning parts.
I hope you will benefit from this code. If you find an error,
you are most welcome to contact me and tell me about it.
Please write to elad@cs.technion.ac.il .
One last comment: This code is shared freely from my webpage,
and it comes with no warranty what so ever.
Enjoy,
Miki Elad
The CS Department
The Technion, Israel
* Why most? Because some figures are taken from other works,
and some figures are part of industrial projects where we
have no permission to share the code.
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sparse and redundant representation.zip_冗余表示_图像 稀疏表示_稀疏_稀疏信号处理_稀 (109个子文件)
Chapter_10_Deblurring.asv 15KB
Chapter_06_Iterated_Shrinkage.asv 14KB
Chapter_15_Local_MCA_KSVD.asv 9KB
Chapter_14_KSVDdenoising.asv 7KB
Chapter_11_Graphs.asv 6KB
Chapter_15_CoreInpainting3KSVD.asv 6KB
Chapter_12_Demo1.asv 4KB
Chapter_14_KSVDGlobalDenoising.asv 4KB
Chapter_12_Demo2.asv 3KB
Chapter_07_ShowTheGap1.asv 2KB
Chapter_05_LARS_DEMO.asv 2KB
Chapter_05_TwoEps_Noise_demo.asv 1KB
Chapter_03_WeakMP_efficiency.asv 1KB
Chapter_06_IS_Sanity_Check.asv 1KB
ompcore.c 14KB
myblas.c 5KB
ompprof.c 4KB
omp2mex.c 3KB
ompmex.c 3KB
omputils.c 1KB
rate_distortion_DB.fig 28KB
rate_distortion.fig 26KB
redundancy.fig 14KB
myblas.h 7KB
ompcore.h 3KB
ompprof.h 3KB
omputils.h 2KB
Chapter_10_Deblurring.m 15KB
Chapter_06_Iterated_Shrinkage.m 14KB
Chapter_12_TrainDic_Fast.m 12KB
Chapter_12_TrainDic.m 11KB
Chapter_15_Local_MCA_KSVD.m 9KB
Chapter_11_Synthetic.m 9KB
Chapter_15_CoreInpainting2KSVD.m 9KB
Chapter_01_3D_spheres.m 7KB
Chapter_08_BP_vs_DS.m 7KB
Chapter_15_ScaleUp_Training_and_Testing2.m 7KB
Chapter_15_CoreInpainting2MOD.m 7KB
Chapter_14_KSVDdenoising.m 7KB
Chapter_11_Graphs.m 7KB
Chapter_05_LARS.m 7KB
Chapter_15_ScaleUp_Training_and_Testing1.m 6KB
Chapter_07_ShowTheGap2.m 6KB
Chapter_15_CoreInpainting0.m 6KB
Chapter_15_CoreInpainting1.m 6KB
Chapter_15_CoreInpainting3KSVD.m 6KB
omp2.m 5KB
Chapter_03_Demo_Greedy.m 5KB
Chapter_15_ImpulseNoiseRemoval.m 5KB
omp.m 4KB
Chapter_14_Local2.m 4KB
Chapter_12_Demo1.m 4KB
Chapter_05_IRLS.m 4KB
Chapter_14_Local1.m 4KB
Chapter_14_KSVDGlobalDenoising.m 4KB
Chapter_05_LARS_vs_OMP.m 4KB
Chapter_12_Demo2.m 4KB
Chapter_03_Demo_Relaxation.m 3KB
Chapter_14_Global_SURE.m 3KB
Chapter_05_No_Uniqueness_Noise_demo.m 3KB
Chapter_14_Global.m 3KB
Chapter_07_ShowTheGap1.m 3KB
Chapter_11_RandomOMP.m 2KB
Chapter_10_Shrinkage_Rho.m 2KB
Chapter_05_TwoEps_Noise_demo.m 2KB
Chapter_02_DesignFrame.m 2KB
Chapter_15_ScaleUp_Main.m 2KB
Chapter_05_LARS_DEMO.m 2KB
Chapter_12_DispDict.m 2KB
Chapter_10_Create_Atom_Examples.m 2KB
Chapter_03_WeakMP_efficiency.m 2KB
Chapter_14_NLMDenoising.m 2KB
Chapter_02_GrassDemo.m 1KB
Chapter_04_Bounds.m 1KB
Chapter_03_IRLS_noNoise.m 1KB
Chapter_01_LpLq_demo.m 1KB
Chapter_06_IS_Sanity_Check.m 1KB
omp2mex.m 896B
make.m 797B
ompmex.m 792B
Chapter_13_AverageL.m 751B
Chapter_01_normDescroption.m 710B
printf.m 693B
Chapter_09_TV_vs_Heaviside.m 586B
Chapter_04_TwoOrthoBP_Proof.m 495B
Chapter_02_picketfence.m 412B
ifht.m 220B
fht.m 218B
Chapter_10_Deblurring_Results.mat 52.22MB
Chapter_12_Demo1.mat 2.26MB
Results1.mat 1.46MB
temp.mat 152KB
Chapter_14_GlobalTrainedDictionary.mat 123KB
Chapter_10_DataCameraman.mat 120KB
omp2mex.mexw32 18KB
ompmex.mexw32 17KB
BuildingImage3.png 411KB
BuildingImage1.png 396KB
BuildingImage2.png 210KB
barbara.png 181KB
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