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comparison examples/Image Denoising/SMALL_ImgDenoise_DL_test_KSVDvsRLSDLAvsTwoStepMOD.m @ 163:855025f4c779 ivand_dev

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renaiming small_cgp to small_pcgp
author Ivan Damnjanovic lnx <ivan.damnjanovic@eecs.qmul.ac.uk>
date Wed, 07 Sep 2011 14:16:50 +0100
parents f42aa8bcb82f
children 9c418bea7f6a
comparison
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161:f42aa8bcb82f 163:855025f4c779
7 % learning. 7 % learning.
8 % Two dictionary learning techniques were compared: 8 % Two dictionary learning techniques were compared:
9 % - KSVD - M. Elad, R. Rubinstein, and M. Zibulevsky, "Efficient 9 % - KSVD - M. Elad, R. Rubinstein, and M. Zibulevsky, "Efficient
10 % Implementation of the K-SVD Algorithm using Batch Orthogonal 10 % Implementation of the K-SVD Algorithm using Batch Orthogonal
11 % Matching Pursuit", Technical Report - CS, Technion, April 2008. 11 % Matching Pursuit", Technical Report - CS, Technion, April 2008.
12 % - RLS-DLA - Skretting, K.; Engan, K.; , "Recursive Least Squares 12
13 % Dictionary Learning Algorithm," Signal Processing, IEEE Transactions on,
14 % vol.58, no.4, pp.2121-2130, April 2010
15 %
16 13
17 14
18 % Centre for Digital Music, Queen Mary, University of London. 15 % Centre for Digital Music, Queen Mary, University of London.
19 % This file copyright 2011 Ivan Damnjanovic. 16 % This file copyright 2011 Ivan Damnjanovic.
20 % 17 %