Mercurial > hg > smallbox
diff examples/Automatic Music Transcription/SMALL_AMT_SPAMS_test.m @ 107:dab78a3598b6
changes to comments for couple of scripts
author | Ivan Damnjanovic lnx <ivan.damnjanovic@eecs.qmul.ac.uk> |
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date | Wed, 18 May 2011 11:50:12 +0100 |
parents | cbf3521c25eb |
children | 8e660fd14774 |
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--- a/examples/Automatic Music Transcription/SMALL_AMT_SPAMS_test.m Tue Apr 05 17:03:26 2011 +0100 +++ b/examples/Automatic Music Transcription/SMALL_AMT_SPAMS_test.m Wed May 18 11:50:12 2011 +0100 @@ -1,13 +1,4 @@ %% DICTIONARY LEARNING FOR AUTOMATIC MUSIC TRANSCRIPTION EXAMPLE 1 -% -% Centre for Digital Music, Queen Mary, University of London. -% This file copyright 2010 Ivan Damnjanovic. -% -% This program is free software; you can redistribute it and/or -% modify it under the terms of the GNU General Public License as -% published by the Free Software Foundation; either version 2 of the -% License, or (at your option) any later version. See the file -% COPYING included with this distribution for more information. % % This file contains an example of how SMALLbox can be used to test diferent % dictionary learning techniques in Automatic Music Transcription problem. @@ -18,6 +9,16 @@ % The function will generarte the Problem structure that is used to learn % Problem.p notes spectrograms from training set Problem.b using % dictionary learning technique defined in DL structure. + +% +% Centre for Digital Music, Queen Mary, University of London. +% This file copyright 2010 Ivan Damnjanovic. +% +% This program is free software; you can redistribute it and/or +% modify it under the terms of the GNU General Public License as +% published by the Free Software Foundation; either version 2 of the +% License, or (at your option) any later version. See the file +% COPYING included with this distribution for more information. % %%