comparison util/SMALL_AudioDeNoiseResult.m @ 161:f42aa8bcb82f ivand_dev

debug and clean the SMALLbox Problems code

 function SMALL_AudioDeNoiseResult(SMALL)
 %% Plots the results of Audio denoising experiment - underconstruction
 
 %   Centre for Digital Music, Queen Mary, University of London.
-%   This file copyright 2009 Ivan Damnjanovic.
+%   This file copyright 2011 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.
 %   
 
 fMain=figure('Name', sprintf('File %s (training set size- %d, sigma - %d)',SMALL.Problem.name, SMALL.Problem.n, SMALL.Problem.sigma));
 m=size(SMALL.solver,2);
-maxval=SMALL.Problem.maxval;
+maxval=max(SMALL.Problem.Original);
 au=SMALL.Problem.Original;
 aunoise=SMALL.Problem.Noisy;
 
 subplot(2, m, 1); plot(au/maxval);
 title('Original audio');

 subplot(2,m,2); plot(aunoise/maxval);
 title(sprintf('Noisy audio, PSNR = %.2fdB', 20*log10(maxval * sqrt(numel(au)) / norm(au(:)-aunoise(:))) ));
 
 for i=1:m
     params=SMALL.solver(i).param;
-    sWav=subplot(2, m, m+i, 'Parent', fMain); plot(SMALL.solver(i).reconstructed.Image/maxval, 'Parent', sWav);
+    sWav=subplot(2, m, m+i, 'Parent', fMain); plot(SMALL.solver(i).reconstructed.audio/maxval, 'Parent', sWav);
     title(sprintf('%s Denoised audio, PSNR: %.2fdB', SMALL.DL(i).name, SMALL.solver(i).reconstructed.psnr),'Parent', sWav );
     if strcmpi(SMALL.DL(i).name,'ksvds')
         D = kron(SMALL.Problem.basedict{2},SMALL.Problem.basedict{1})*SMALL.DL(i).D;
     else
         D = SMALL.DL(i).D;