ksvdbox

所属分类:人工智能/神经网络/深度学习
开发工具:matlab
文件大小:821KB
下载次数:130
上传日期:2012-09-17 22:01:20
上 传 者guohua109
说明:  经典的ksvd字典学习算法,可用于信号去噪,图像重建等
(Classical ksvd dictionary learning algorithm can be used to signal denoising, image reconstruction)

文件列表:
ksvdbox (0, 2012-09-17)
ksvdbox\Contents.m (1068, 2009-08-03)
ksvdbox\faq.txt (4348, 2009-10-18)
ksvdbox\images (0, 2009-08-29)
ksvdbox\images\barbara.png (185727, 2009-07-27)
ksvdbox\images\boat.png (177762, 2009-07-27)
ksvdbox\images\house.png (34985, 2009-07-27)
ksvdbox\images\lena.png (151199, 2009-07-27)
ksvdbox\images\peppers.png (233120, 2009-07-27)
ksvdbox\ksvd.m (19222, 2009-10-12)
ksvdbox\ksvddemo.m (1736, 2009-07-27)
ksvdbox\ksvddenoise.m (10724, 2009-10-03)
ksvdbox\ksvddenoisedemo.m (2415, 2009-08-24)
ksvdbox\ksvdver.m (13711, 2009-10-18)
ksvdbox\odct2dict.m (1057, 2009-07-27)
ksvdbox\odct3dict.m (1149, 2009-07-27)
ksvdbox\odctdict.m (452, 2009-07-27)
ksvdbox\odctndict.m (1459, 2009-07-27)
ksvdbox\ompdenoise.m (10423, 2009-10-03)
ksvdbox\ompdenoise1.m (4084, 2009-09-07)
ksvdbox\ompdenoise2.m (4059, 2009-09-07)
ksvdbox\ompdenoise3.m (4229, 2009-09-07)
ksvdbox\private (0, 2009-10-18)
ksvdbox\private\addtocols.c (1915, 2009-07-27)
ksvdbox\private\addtocols.m (303, 2009-07-27)
ksvdbox\private\add_dc.m (830, 2009-07-27)
ksvdbox\private\col2imstep.c (3924, 2009-08-31)
ksvdbox\private\col2imstep.m (1001, 2009-08-31)
ksvdbox\private\collincomb.c (4255, 2009-07-27)
ksvdbox\private\collincomb.m (832, 2009-07-27)
ksvdbox\private\countcover.m (1178, 2009-09-01)
ksvdbox\private\dictdist.m (1839, 2009-07-27)
ksvdbox\private\im2colstep.c (3388, 2009-10-18)
ksvdbox\private\im2colstep.m (1341, 2009-09-01)
ksvdbox\private\imnormalize.m (477, 2009-07-27)
ksvdbox\private\iswhole.m (470, 2009-07-27)
ksvdbox\private\make.m (857, 2009-08-31)
ksvdbox\private\mexutils.c (2219, 2009-08-15)
ksvdbox\private\mexutils.h (3655, 2009-08-18)
ksvdbox\private\normcols.m (346, 2009-07-27)
... ...

KSVDBox v13 README October 18, 2009 KSVDBox installation: --------------------- 1. Make sure OMPBox v10 is installed prior to installing this package. 2. Unpack the contents of the compressed file to a new directory, named e.g. "ksvdbox". 3. If you have not done so before, configure Matlab's MEX compiler by entering >> mex -setup prior to using MAKE. For optimal performance, it is recommended that you select a compiler that performs optimizations. For instance, in Windows, MS Visual Studio is preferred to Lcc. 4. Within Matlab, navigate to the KSVDBox directory, and then to the "private" directory within it, and enter MAKE to run the compilation script. 5. Add the KSVDBox package directory to the Matlab path (you can use the ADDPATH command for this). Do not add the private directory to the path. KSVDBox quick start: -------------------- 1. Enter "ksvddemo" and "ksvddenoisedemo" at the Matlab command prompt to run some demonstrations of the package. 2. For a complete list of functions in the package, enter >> help ksvdbox This assumes the package was installed to a directory named "ksvdbox". If not, replace ksvdbox in the above with the (unqualified) name of the KSVDBox installation directory. Also see faq.txt for some frequently asked questions about the package.

近期下载者

相关文件


收藏者