Matlab-Package-Book

所属分类:图形图像处理
开发工具:matlab
文件大小:76396KB
下载次数:6
上传日期:2017-06-22 11:56:07
上 传 者LSB
说明:  本书介绍了稀疏和冗余表示,内容分两部分,共十六章。第一部分是稀疏和冗余表示的理论和数值基础,系统、条理地罗列了数据模型的理论基础、相关算法的数值部分
(This book introduces the sparse and redundant representation, the content is divided into two parts, a total of sixteen chapters. The first part is the theoretical and numerical foundation of sparse and redundant representation, and systematically and systematically lists the theoretical basis of the data model and the numerical value of the related algorithms)

文件列表:
Matlab-Package-Book (0, 2017-06-22)
Matlab-Package-Book\BuildingImage1.png (405822, 2009-12-03)
Matlab-Package-Book\BuildingImage2.png (215331, 2009-12-03)
Matlab-Package-Book\BuildingImage3.png (420879, 2009-12-03)
Matlab-Package-Book\Chapter_01_3D_spheres.m (7575, 2010-09-15)
Matlab-Package-Book\Chapter_01_LpLq_demo.m (1161, 2010-09-15)
Matlab-Package-Book\Chapter_01_normDescroption.m (710, 2010-09-15)
Matlab-Package-Book\Chapter_02_DesignFrame.m (1842, 2009-07-04)
Matlab-Package-Book\Chapter_02_GrassDemo.m (1459, 2010-09-15)
Matlab-Package-Book\Chapter_02_picketfence.m (412, 2010-09-15)
Matlab-Package-Book\Chapter_03_Demo_Greedy.m (5267, 2010-09-15)
Matlab-Package-Book\Chapter_03_Demo_Relaxation.m (3565, 2010-09-15)
Matlab-Package-Book\Chapter_03_IRLS_noNoise.m (1239, 2010-09-15)
Matlab-Package-Book\Chapter_03_WeakMP_efficiency.asv (1131, 2010-09-15)
Matlab-Package-Book\Chapter_03_WeakMP_efficiency.m (1584, 2010-09-15)
Matlab-Package-Book\Chapter_04_Bounds.m (1277, 2010-09-15)
Matlab-Package-Book\Chapter_04_TwoOrthoBP_Proof.m (495, 2010-09-15)
Matlab-Package-Book\Chapter_05_IRLS.m (3791, 2010-09-15)
Matlab-Package-Book\Chapter_05_LARS.m (6931, 2009-07-05)
Matlab-Package-Book\Chapter_05_LARS_DEMO.asv (1699, 2010-09-15)
Matlab-Package-Book\Chapter_05_LARS_DEMO.m (1825, 2010-09-15)
Matlab-Package-Book\Chapter_05_LARS_vs_OMP.m (3665, 2010-09-15)
Matlab-Package-Book\Chapter_05_No_Uniqueness_Noise_demo.m (3224, 2010-09-15)
Matlab-Package-Book\Chapter_05_TwoEps_Noise_demo.asv (1500, 2010-09-15)
Matlab-Package-Book\Chapter_05_TwoEps_Noise_demo.m (1855, 2010-09-15)
Matlab-Package-Book\Chapter_06_IS_Sanity_Check.asv (1074, 2010-09-15)
Matlab-Package-Book\Chapter_06_IS_Sanity_Check.m (1132, 2010-09-15)
Matlab-Package-Book\Chapter_06_Iterated_Shrinkage.asv (14655, 2010-09-15)
Matlab-Package-Book\Chapter_06_Iterated_Shrinkage.m (14787, 2010-09-15)
Matlab-Package-Book\Chapter_07_ShowTheGap1.asv (2528, 2010-09-15)
Matlab-Package-Book\Chapter_07_ShowTheGap1.m (2568, 2010-09-15)
Matlab-Package-Book\Chapter_07_ShowTheGap2.m (6484, 2010-09-15)
Matlab-Package-Book\Chapter_08_BP_vs_DS.m (7528, 2010-09-15)
Matlab-Package-Book\Chapter_09_TV_vs_Heaviside.m (586, 2010-09-15)
Matlab-Package-Book\Chapter_10_Create_Atom_Examples.m (1603, 2010-09-15)
Matlab-Package-Book\Chapter_10_DataCameraman.mat (122522, 2009-07-24)
Matlab-Package-Book\Chapter_10_Deblurring.asv (15602, 2010-09-15)
Matlab-Package-Book\Chapter_10_Deblurring.m (15610, 2010-09-15)
Matlab-Package-Book\Chapter_10_Deblurring_Results.mat (54754810, 2010-04-26)
Matlab-Package-Book\Chapter_10_Shrinkage_Rho.m (2330, 2010-09-15)
... ...

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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