Mercurial > hg > smallbox
changeset 21:0211faef9add
(none)
author | idamnjanovic |
---|---|
date | Tue, 27 Apr 2010 13:31:44 +0000 |
parents | ce03373b3761 |
children | 524cc3fff5ac |
files | Problems/Pierre_Problem.m Problems/generateAMT_Learning_Problem.m Problems/generateAudioDenoiseProblem.m Problems/generateImageDenoiseProblem.m |
diffstat | 4 files changed, 39 insertions(+), 11 deletions(-) [+] |
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--- a/Problems/Pierre_Problem.m Thu Apr 15 10:15:13 2010 +0000 +++ b/Problems/Pierre_Problem.m Tue Apr 27 13:31:44 2010 +0000 @@ -1,6 +1,14 @@ function data=Pierre_Problem(src, trg, blocksize, dictsize); %%% Generate Pierre Problem -% Ivan Damnjanovic 2010 +% +% 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. % % Pierre_Problem is a part of the SMALLbox and generates the problem % suggested by Professor Pierre Vandergheynst on the SMALL meeting in
--- a/Problems/generateAMT_Learning_Problem.m Thu Apr 15 10:15:13 2010 +0000 +++ b/Problems/generateAMT_Learning_Problem.m Tue Apr 27 13:31:44 2010 +0000 @@ -1,6 +1,14 @@ function data = generateAMT_Learning_Problem(nfft, windowSize, overlap) %%% Generate Automatic Music Transcription Problem -% Ivan Damnjanovic 2010 +% +% Centre for Digital Music, Queen Mary, University of London. +% This file copyright 2009 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. % % % generateAMT_Learning_Problem is a part of the SMALLbox and generates
--- a/Problems/generateAudioDenoiseProblem.m Thu Apr 15 10:15:13 2010 +0000 +++ b/Problems/generateAudioDenoiseProblem.m Tue Apr 27 13:31:44 2010 +0000 @@ -1,6 +1,15 @@ function data=generateAudioDenoiseProblem(au, trainnum, blocksize, dictsize, overlap, sigma, gain, maxval, initdict); - -% Ivan Damnjanovic 2010 +%%% Audio Denoising Problem +% +% 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. +% % % % generateAudioDenoiseProblem is part of the SMALLbox and generate a @@ -13,12 +22,7 @@ % blocksize - 1D frame size (eg 512) % dictsize - number of atoms to be trained % overlap - ammount of overlaping frames between 0 and 1 -% Ron Rubinstein -% Computer Science Department -% Technion, Haifa 32000 Israel -% ronrubin@cs -% -% August 2009 +% disp(' ');
--- a/Problems/generateImageDenoiseProblem.m Thu Apr 15 10:15:13 2010 +0000 +++ b/Problems/generateImageDenoiseProblem.m Tue Apr 27 13:31:44 2010 +0000 @@ -1,7 +1,15 @@ function data=generateImageDenoiseProblem(im, trainnum, blocksize, dictsize, sigma, gain, maxval, initdict); %%% Generate Image Denoising Problem -% Ivan Damnjanovic 2010 % +% 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. +% % generateImageDenoiseProblem is a part of the SMALLbox and generates % a problem that can be used for comparison of Dictionary Learning/Sparse % Representation techniques in image denoising scenario.