📄 mefig206.m
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% mefig206 -- Wavelet Transforms w/o segmentation
%
global Ramp Cusp Noise HeaviSine
global E2 F2
global swRamp awRamp
global swCusp awCusp
global swNoise awNoise
global swHeavi awHeavi
%
subplot(221)
C=4;D=2;
awRamp = FWT_AI(Ramp ,C,D,F2,E2);
PlotWaveCoeff(awRamp,C,10); title('2.6a WT(Ramp) ')
xlabel('t'); ylabel('dyad');
%
subplot(222)
awCusp = FWT_AI(Cusp ,C,D,F2,E2);
PlotWaveCoeff(awCusp,C,150); title('2.6b WT(Cusp) ')
xlabel('t'); ylabel('dyad');
%
subplot(223)
awNoise = FWT_AI(Noise,C,D,F2,E2);
PlotWaveCoeff(awNoise,C,.2); title('2.6c WT(Noise) ')
xlabel('t'); ylabel('dyad');
%
subplot(224)
awHeavi = FWT_AI(HeaviSine,C,D,F2,E2);
PlotWaveCoeff(awHeavi,C,3); title('2.6d WT(HeaviSine)')
xlabel('t'); ylabel('dyad');
%
% Prepared for the paper Minimum Entropy Segmentation
% Copyright (c) 1994 David L. Donoho
%
%% Part of Wavelab Version 850% Built Tue Jan 3 13:20:41 EST 2006% This is Copyrighted Material% For Copying permissions see COPYING.m% Comments? e-mail wavelab@stat.stanford.edu
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