📄 asfig08.m
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% asfig08 -- Asymptopia Figure 08: Smoothing Good-Gaskins data
%
% Here we illustrate the application of wavelet thresholding to Poisson
% Counts data. The Good-Gaskins 1980 scattering data are transformed by the Anscombe
% variance-stabilizing transformation for poisson data, which are
% then processed exactly as if the data obeyed the white noise model.
%
% Note that for these data, the wavelet result is very closely comparable
% to the result that Good and Gaskins obtained by
%
load scatter
y = 2.*sqrt(scatter + .375);
t =(-135):10:(-135+255*10);
QMF_Filter = MakeONFilter('Coiflet',3);
[xh,wcoef] = WaveShrink(y,'Visu',5,QMF_Filter);
%
%clf;
load goodfit;
rootgood = 2*sqrt(goodfit+.375);
% versaplot(311,t,y,[],'(a) Root-o-Gram of Good-Gaskins Scattering Counts',[],[])
% versaplot(312,t,xh,[],'(b) Wavelet Shrinkage' ,[],[])
% versaplot(313,t,2*sqrt(goodfit + .375),[],'(b) Good-Gaskins Estimate' ,[],[])
versaplot(311,t,y, [],'8 (a) Roots of Good-Gaskins Scattering Counts',[],[])
versaplot(312,t,xh, [],'8 (b) Wavelet Shrinkage of Rooted Counts' ,[],[])
versaplot(313,t,y-xh,[],'8 (c) Rootogram of Residuals' ,[],[])
%
%
% Prepared for the paper Wavelet Shrinkage: Asymptopia?
% Copyright (c) 1994 David L. Donoho and Iain M. Johnstone
%
% Revision History
% 10/1/05 AM Name of the variable QMF is changed to
% QMF_Filter
%% 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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