diff Problems/AudioDeclipping_reconstruct.m @ 144:19e0af570914 release_1.5

Merge from branch "ivand_dev"

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/Problems/AudioDeclipping_reconstruct.m	Tue Jul 26 15:14:15 2011 +0100
@@ -0,0 +1,57 @@
+function reconstructed=AudioDeclipping_reconstruct(y, Problem, SparseDict)
+%%  Audio declipping Problem reconstruction function
+%   
+%   This reconstruction function is using sparse representation y 
+%   in dictionary Problem.A to reconstruct declipped audio.
+%
+%   [1] I. Damnjanovic, M. E. P. Davies, and M. P. Plumbley "SMALLbox - an 
+%   evaluation framework for sparse representations and dictionary 
+%   learning algorithms," V. Vigneron et al. (Eds.): LVA/ICA 2010, 
+%   Springer-Verlag, Berlin, Germany, LNCS 6365, pp. 418-425
+%   [2] A. Adler, V. Emiya, M. G. Jafari, M. Elad, R. Gribonval, and M. D.
+%   Plumbley, “Audio Inpainting,” submitted to IEEE Trans. Audio, Speech,
+%   and Lang. Proc., 2011, http://hal.inria.fr/inria-00577079/en/.
+
+%
+%   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.
+%%
+
+windowSize = Problem.windowSize;
+overlap = Problem.overlap;
+ws = Problem.ws(windowSize);
+wa = Problem.wa(windowSize);
+A = Problem.B;
+
+orig     = Problem.original;
+clipped  = Problem.clipped;
+clipMask = Problem.clipMask;
+
+% reconstruct audio frames
+
+xFrames = diag(ws)*(A*y);
+wNormFrames = (ws.*wa)'*ones(1,size(xFrames,2));
+
+%   overlap and add
+
+rec   = col2imstep(xFrames, size(clipped), [windowSize 1], [windowSize*overlap 1]);
+wNorm = col2imstep(wNormFrames, size(clipped), [windowSize 1], [windowSize*overlap 1]); 
+wNorm(find(wNorm==0)) = 1; 
+recN  = rec./wNorm;
+
+% change only clipped samples
+
+recSignal = orig.*double(~clipMask) + recN.*double(clipMask); 
+
+%% output structure image+psnr %%
+reconstructed.audioAllSamples  = recN;
+reconstructed.audioOnlyClipped = recSignal;
+[reconstructed.snrAll , reconstructed.snrMiss] = SNRInpaintingPerformance(orig, clipped, recSignal, clipMask, 1);
+
+end
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