资源简介
压缩传感理论,用K-SVD算法训练字典,过完备字典
代码片段和文件信息
% KSVD running file
% in this file a synthetic test of the K-SVD algorithm is performed. First
% a random dictionary with normalized columns is being generated and then
% a set of data signals each as a linear combination of 3 dictionary
% element is created with noise level of 20SNR. this set is given as input
% to the K-SVD algorithm.
% a different mode for activating the K-SVD algorithm is until a fixed
% error is reached in the Sparse coding stage instead until a fixed number of coefficients is found
% (it was used by us for the
% denoising experiments). in order to switch between those two modes just
% change the param.errorFlag (0 - for fixed number of coefficients 1 -
% until a certain error is reached).
param.L = 3; % number of elements in each linear co
属性 大小 日期 时间 名称
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文件 185727 2005-09-11 15:43 KSVD\barbara.png
文件 177762 2005-09-11 15:44 KSVD\boat.png
文件 1907 2006-12-12 08:36 KSVD\demo1.m
文件 3561 2006-12-12 09:13 KSVD\demo2.m
文件 8504 2006-12-28 13:57 KSVD\demo3.m
文件 5426 2007-01-24 07:53 KSVD\denoiseImageDCT.m
文件 6046 2006-12-12 09:18 KSVD\denoiseImageGlobal.m
文件 9088 2007-01-24 07:53 KSVD\denoiseImageKSVD.m
文件 3246 2007-01-25 08:39 KSVD\displayDictionaryElementsAsImage.asv
文件 3224 2007-01-25 08:39 KSVD\displayDictionaryElementsAsImage.m
文件 1896 2006-12-11 14:25 KSVD\gererateSyntheticDictionaryAndData.m
文件 5749450 2005-09-21 08:35 KSVD\globalTrainedDictionary.mat
文件 34985 2005-09-11 15:44 KSVD\house.png
文件 12277 2007-02-08 12:06 KSVD\KSVD.m
文件 515393 2010-04-15 21:20 KSVD\KSVD.pdf
文件 11585 2006-12-28 14:02 KSVD\KSVD_NN.m
文件 151199 2005-09-11 15:44 KSVD\lena.png
文件 8053 2006-12-12 08:35 KSVD\MOD.m
文件 631 2006-12-11 09:56 KSVD\my_im2col.m
文件 1105 2006-12-24 16:00 KSVD\NN_BP.m
文件 954 2007-04-29 10:17 KSVD\OMP.m
文件 1083 2006-12-11 15:08 KSVD\OMPerr.m
文件 40181 2002-08-29 17:48 KSVD\peppers256.png
文件 4802 2006-12-28 14:11 KSVD\README.txt
..A.SH. 8192 2010-04-15 21:15 KSVD\Thumbs.db
目录 0 2010-04-15 21:21 KSVD
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