comparison Problems/AudioDeclipping_reconstruct.m @ 136:1334d2302dd9 ivand_dev

Added Audio declipping problem (problem, reconstruct and example function)

+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 the patches of the denoised
+%   image.
+
+%
+%   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