Mercurial > hg > smallbox
diff toolboxes/AudioInpaintingToolbox/Problems/generateDeclippingProblem.m @ 144:19e0af570914 release_1.5
Merge from branch "ivand_dev"
author | Ivan <ivan.damnjanovic@eecs.qmul.ac.uk> |
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date | Tue, 26 Jul 2011 15:14:15 +0100 |
parents | 56d719a5fd31 |
children |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/toolboxes/AudioInpaintingToolbox/Problems/generateDeclippingProblem.m Tue Jul 26 15:14:15 2011 +0100 @@ -0,0 +1,124 @@ +function [problemData, solutionData] = generateDeclippingProblem(x,clippingLevel,GR) +% +% +% Usage: +% +% +% Inputs: +% - +% - +% - +% - +% - +% - +% - +% - +% +% Outputs: +% - +% - +% - +% - +% +% Note that the CVX library is needed. +% +% ------------------- +% +% Audio Inpainting toolbox +% Date: June 28, 2011 +% By Valentin Emiya, Amir Adler, Maria Jafari +% This code is distributed under the terms of the GNU Public License version 3 (http://www.gnu.org/licenses/gpl.txt). +% Generate a clipping problem: normalize and clip a signal. +% +% Usage: +% [problemData, solutionData] = makeClippedSignal(x,clippingLevel,GR) +% +% Inputs: +% - x: input signal (may be multichannel) +% - clippingLevel: clipping level, between 0 and 1 +% - GR (default: false): flag to generate an optional graphical display +% +% Outputs: +% - problemData.x: clipped signal +% - problemData.IMiss: boolean vector (same size as problemData.x) that indexes clipped +% samples +% - problemData.clipSizes: size of the clipped segments (not necessary +% for solving the problem) +% - solutionData.xClean: clean signal (input signal after normalization +% +% Note that the input signal is normalized to 0.9999 (-1 is not allowed in +% wav files) to provide problemData.x and solutionData.xClean. + +if nargin<3 || isempty(GR) + GR = false; +end + +%% Normalization +xMax = 0.9999; +solutionData.xClean = x/max(abs(x(:)))*xMax; +clippingLevel = clippingLevel*xMax; + +%% Clipping (hard threshold) +problemData.x = min(max(solutionData.xClean,-clippingLevel),clippingLevel); +problemData.IMiss = abs(problemData.x)>=clippingLevel; % related indices + +%% Size of the clipped segments +problemData.clipSizes = diff(problemData.IMiss); +if problemData.clipSizes(find(problemData.clipSizes,1,'first'))==-1,problemData.clipSizes = [1;problemData.clipSizes]; end +if problemData.clipSizes(find(problemData.clipSizes,1,'last'))==1,problemData.clipSizes = [problemData.clipSizes;-1]; end +problemData.clipSizes = diff(find(problemData.clipSizes)); +problemData.clipSizes = problemData.clipSizes(1:2:end); + +%% Optional graphical display +if GR + + % Plot histogram of the sizes of the clipped segments + if ~isempty(problemData.clipSizes) + figure + hist(problemData.clipSizes,1:max(problemData.clipSizes)) + title('Size of missing segments') + xlabel('Size'),ylabel('# of segments') + end + + t = (0:length(solutionData.xClean)-1); % time scale in samples + + % Plot original and clipped signals + figure + plot(t,solutionData.xClean,'',t,problemData.x,'') + legend('original','clipped') + + % Scatter plot between original and clipped signals + figure + plot(solutionData.xClean,problemData.x,'.') + xlabel('Original signal'),ylabel('Clipped signal') + + % Spectrograms + N = 512; + w = hann(N); + fs = 1; + NOverlap = round(.8*N); + nfft = 2^nextpow2(N)*2*2; + figure + subplot(3,3,[1,4]) + spectrogram(solutionData.xClean,w,NOverlap,nfft,fs,'yaxis') + title('Original') + xlim(t([1,end])) + cl = get(gca,'clim'); + set(gca,'clim',cl); + subplot(3,3,[1,4]+1) + spectrogram(problemData.x,w,NOverlap,nfft,fs,'yaxis') + title('Clipped') + set(gca,'clim',cl); + subplot(3,3,[1,4]+2) + spectrogram(solutionData.xClean-problemData.x,w,NOverlap,nfft,fs,'yaxis') + title('Error (=original-clipped)') + set(gca,'clim',cl); + subplot(3,3,7) + plot(t,solutionData.xClean,'');xlim(t([1,end])) + subplot(3,3,8) + plot(t,solutionData.xClean,'',t,problemData.x,'');xlim(t([1,end])) + subplot(3,3,9) + plot(t,solutionData.xClean-problemData.x,'');xlim(t([1,end])) +end + +return