function d = xcorr1xr_orig(d)
   
   % This function performs cross correlations in sets by correlating one
   % trace against a row of traces at once. Generally it is faster than the
   % one at a time implimentation. All steps are included in this function.
   % That is, no calls to the Matlab built-in xcorr are used.
   
   % Author: Michael West, Geophysical Institute, Univ. of Alaska Fairbanks
   % $Date$
   % $Revision$
   
   
   % PREP NECESSARY TERMS
   [M,N] = size(d.w);
   pretrig = 86400*(d.trig-d.start);   % time between trace start and trigger
   l = (1./d.Fs)*[-M+1:M-1]';        % lag vector
   % next two lines are equivalent ways to determine normalization coefficients
   wcoeff = 1./sqrt(sum(d.w.*d.w));
   %for i = 1:size(d.w,2), wcoeff(i) = 1./norm(d.w(:,i)); end;
   d.corrmatrix = eye(length(d.trig),'single');
   d.lags = zeros(length(d.trig),'single');
   
   
   % GET FFT OF TRACES
   X = fft(d.w,2^nextpow2(2*M-1));
   Xc = conj(X);
   [MX,NX] = size(X);
   
   
   % TIME THE PROCESS
   starttime = now;
   tic;
   t0 = cputime;
   numcorr = ((length(d.trig))^2-length(d.trig))/2;
   count = 0;
   
   
   % LOOP THROUGH ROWS OF SIMILARITY MATRIX
   for n =1:N
      cols = n:N;
      % multiply fourier series and transform back to time domain
      CC = (X(:,n) * ones(1,length(cols))) .* Xc(:,cols);
      corr = ifft(CC);
      corr = [corr(end-M+2:end,:);corr(1:M,:)];
      
      % save only max correlation value
      [maxval,index] = max(corr);
      d.corrmatrix(n,cols)=maxval .* wcoeff(n) .* wcoeff(cols);   % normalized maximum correlation
      d.lags(n,cols)=l(index) + (pretrig(cols) - pretrig(n)); % lag in seconds
      
      if (n==100) | (n==1000)
         tclock = toc/86400;
         completed = sum(N-n:N-1)/((N*N-N)/2);
         fin = datestr(starttime + tclock/completed,16);
         if completed<0.5
            disp([num2str(100*completed,'%2.0f') '% completed. Estimated completion at ' fin '...']);
         end;
      end;
   end
   
   
   % FILL LOWER TRIANGULAR PART OF MATRICES
   d.corrmatrix = d.corrmatrix + d.corrmatrix' - eye(size(d.corrmatrix));
   d.lags = d.lags - d.lags';
   
   
   % DISPLAY RUN TIMES
   tclock = toc;
   tcpu = cputime-t0;
   if tclock>20
      disp(['Clock time to complete correlations: ' num2str(tclock,'%5.1f') ' s']);
      disp(['CPU time to complete correlations:   ' num2str(tcpu,'%5.1f') ' s']);
   end;
end


