function Noise = lyngby_lzit_noise(T,n,beta,fhats, Y, X);

% lyngby_lzit_noise    - Noise estimate in the Lange-Zeger model
%
%	function Noise = lyngby_lzit_noise(T,n,beta,fhats, Y, X);
%
%	Input:	T
%               n
%               beta
%               fhats
%               Y
%               X
%	
%	Output:	Noise
%
%	Returns only one yet: Gaussian noise
%
%       See also: lyngby_lzit_main

% cvs : $Id: lyngby_lzit_noise.m,v 1.2 1997/10/28 10:23:24 fnielsen Exp $
%       $Revision: 1.2 $


    if 1==0
      % Noise = sum(fhats) + sum(abs(Y-beta*X).^2);
    else
      Noise = 1000*ones(1,size(X,2));
    end
    
    %for i = 1:(floor(T/2)/n)
    %	Noise(i,:) = sum(fhats(i,:)+(abs(Yi(i,:)-beta*Xi(i,:))).^2);
    %end;







