ksvdbox12
所属分类：matlab编程
开发工具：matlab
文件大小：814KB
下载次数：244
上传日期：2009-10-29 09:06:41
上 传 者：
sunnyyanzi
说明： 采用KSVD算法通过训练的方法来构造稀疏过完备字典，在使用时一定要确保已装有ompbox9。可用于语音，图像信号处理等的稀疏字典构造
(KSVD algorithm using the method of training to construct the sparse over-complete dictionary, in use, make sure have been installed ompbox9. Can be used for the sparse dictionary construction in voice, image signal processing )
文件列表:
ksvddenoise.m (10824, 2009-08-24)
ksvddenoisedemo.m (2415, 2009-08-24)
ksvdver.m (12265, 2009-08-24)
odct2dict.m (1057, 2009-07-27)
odct3dict.m (1149, 2009-07-27)
odctdict.m (452, 2009-07-27)
odctndict.m (1459, 2009-07-27)
ompdenoise1.m (3688, 2009-08-03)
ompdenoise2.m (5183, 2009-08-03)
ompdenoise3.m (5680, 2009-08-03)
ompdenoise.m (10130, 2009-08-27)
showdict.m (2914, 2009-07-27)
images (0, 2009-08-22)
images\barbara.png (185727, 2009-07-27)
images\boat.png (177762, 2009-07-27)
images\house.png (34985, 2009-07-27)
images\lena.png (151199, 2009-07-27)
images\peppers.png (233120, 2009-07-27)
private (0, 2009-08-27)
private\addtocols.c (1915, 2009-07-27)
private\addtocols.m (303, 2009-07-27)
private\add_dc.m (830, 2009-07-27)
private\col2imsum.m (1084, 2009-08-03)
private\collincomb.c (4255, 2009-07-27)
private\collincomb.m (832, 2009-07-27)
private\countcover.m (1132, 2009-07-27)
private\dictdist.m (1839, 2009-07-27)
private\imnormalize.m (477, 2009-07-27)
private\iswhole.m (470, 2009-07-27)
private\make.m (821, 2009-08-24)
private\mexutils.c (2219, 2009-08-15)
private\mexutils.h (3655, 2009-08-18)
private\normcols.m (346, 2009-07-27)
private\printf.m (693, 2009-07-27)
private\reggrid.m (4708, 2009-07-27)
private\remove_dc.m (1019, 2009-07-27)
private\rowlincomb.c (3442, 2009-07-27)
private\rowlincomb.m (835, 2009-07-27)
private\sampgrid.m (2003, 2009-08-03)
... ...
KSVDBox v12 README
August 24, 2009
KSVDBox installation:
---------------------
1. Make sure OMPBox v9 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.
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