📄 vdlfig03.m
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% vdlfig03 -- 95% wavelet/dct compression of seismic signal
%
% Wavelets have been used successfully to compress data. By compression
% we mean reconstructing from a subset of the entire list of n coefficients
% that represent the transform of a signal of length n, i.e. setting the
% others to zero. Here we illustrate the Seismic signal (built-into
% WaveLab) and show both the Wavelet and DCT reconstructions based on 5%
% of its original 1024 coefficients.
%
% The visual superiority of the wavelet reconstruction is evident.
%
trace = ReadSignal('Seismic')';
n = length(trace);
p = ceil(n*.05);
%
qmf = MakeONFilter('Coiflet',3);
wc = FWT_PO(trace,4,qmf);
%
wprev = reverse((sort(wc.^2)));
thresh = sqrt(wprev(p));
wct = wc .* (abs(wc) >= thresh);
wave_recon = IWT_PO(wct,4,qmf);
%
dctcoef = dct_iv(trace);
%
dcrev = reverse((sort(dctcoef.^2)));
thresh = sqrt(dcrev(p));
dctt = dctcoef .* (abs(dctcoef) >= thresh);
dct_recon = dct_iv(dctt);
%
subplot(3,1,1)
plot(trace)
title('Figure 3(a): Seismic Trace')
ax = axis;
%
subplot(3,1,2)
plot(wave_recon)
title('Figure 3(b): 5% Wavelet Reconstruction');
axis(ax);
%
subplot(3,1,3)
plot(dct_recon)
title('Figure 3(c): 5% DCT Reconstruction');
axis(ax);
%
% Copyright (c) 1995, Jonathan Buckheit.
% Prepared for ``WaveLab and Reproducible Research''
% for XV Recontres Franco-Belges symposium proceedings.
%
%% Part of Wavelab Version 850% Built Tue Jan 3 13:20:42 EST 2006% This is Copyrighted Material% For Copying permissions see COPYING.m% Comments? e-mail wavelab@stat.stanford.edu
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