scfig08.m

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% scfig08 -- Short Course 08: AutoTrunc Truncated Fourier Reconstructions
%
% Here we depict a reconstruction using truncated Fourier expansions,
% in which only the low-order fourier components of the noisy signal
% are retained in reconstruction. The cut-off point for reconstruction
% in the frequency domain is the empirical minimizer of the Stein
% Unbiased Estimate of Risk.
%
global yblocks ybumps yheavi yDoppler
global t
%
% clf;
%
	xhat = AutoTrunc(yblocks,1.);
	versaplot(221,t,xhat,[],' 8 (a) AutoTrunc[yBlocks]',[],[])
%
	xhat = AutoTrunc(ybumps,1.);
	versaplot(222,t,xhat,[],' 8 (b) AutoTrunc[yBumps]',[],[])
%
	xhat = AutoTrunc(yheavi,1.);
	versaplot(223,t,xhat,[],' 8 (c) AutoTrunc[yHeaviSine]',[],[])
%
	xhat = AutoTrunc(yDoppler,1.);
	versaplot(224,t,xhat,[],' 8 (d) AutoTrunc[yDoppler]',[],[])
    
    
    
  %%  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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