You are an expert in writing code in many different languages. Your goal is to perform code completion for the following code, keeping in mind the rest of the code and the file meta data.
    Metadata details:
    filename: mwavenormcorr.m
    path of file: ./repos/HRTF-Individualization/model/matlabcode/functions/library/binauraltoolbox
    
    the code of the file until where you have to start completion: function output_correlation = mwavenormcorr(wave, infoflag);
% function output_correlation = 
% mwavenormcorr(wave, infoflag);
%
% --------------------------------------------------
% returns the normalized correlation of a 'wave' signal
% -------------------------------------------------
%
% Input:
%  wave        =  input wave structure
%  infoflag        = 1: report some information while running only
%                  = 0  dont report anything
%
% Outputs:
%  output_correlation: normalized correlation
% 
% Example: 
% to measure the normalized correlation of a previously-made 'wave'
% signal 'wave1' (e.g., mcreatetone), type:
% >> rho = mwavenormcorr(wave1, 1);
%
% For another example see mwavecreate.m
%
%
% The normalized correlation is 
%                 sum(left(n) x right(n)
%   rho = ------------------------------------
%         sqrt(sum(left(n)^2)) * sqrt(sum(right(n)^2))
%
% see Bernstein LR and Trahiotis C (1996)
% "On the use of the normalized correlation as an index of
% interaural envelope correlation"
% J. Acoust. Soc. Am., 100, 1754-1763.
%
%
% Thanks to Les Bernstein for supplying this function
%
%
% version 1.0 (January 20th 2001)
% MAA Winter 2001 
%--------------------------------------------------------

% ******************************************************************
% This MATLAB software was developed by Michael A Akeroyd for 
% supporting research at the University of Connecticut

    
function output_correlation = mwavenormcorr(wave, infoflag);
% function output_correlation = 
% mwavenormcorr(wave, infoflag);
%
% --------------------------------------------------
% returns the normalized correlation of a 'wave' signal
% -------------------------------------------------
%
% Input:
%  wave        =  input wave structure
%  infoflag        = 1: report some information while running only
%                  = 0  dont report anything
%
% Outputs:
%  output_correlation: normalized correlation
% 
% Example: 
% to measure the normalized correlation of a previously-made 'wave'
% signal 'wave1' (e.g., mcreatetone), type:
% >> rho = mwavenormcorr(wave1, 1);
%
% For another example see mwavecreate.m
%
%
% The normalized correlation is 
%                 sum(left(n) x right(n)
%   rho = ------------------------------------
%         sqrt(sum(left(n)^2)) * sqrt(sum(right(n)^2))
%
% see Bernstein LR and Trahiotis C (1996)
% "On the use of the normalized correlation as an index of
% interaural envelope correlation"
% J. Acoust. Soc. Am., 100, 1754-1763.
%
%
% Thanks to Les Bernstein for supplying this function
%
%
% version 1.0 (January 20th 2001)
% MAA Winter 2001 
%--------------------------------------------------------

% ******************************************************************
% This MATLAB software was developed by Michael A Akeroyd for 
% supporting research at the University of Connecticut
% and the University of Sussex.  It is made available
% in the hope that it may prove useful. 
% 
% Any for-profit use or redistribution is prohibited. No warranty
% is expressed or implied. All rights reserved.
% 
%    Contact address:
%      Dr Michael A Akeroyd,
%      Laboratory of Experimental Psychology, 
%      University of Sussex, 
%      Falmer, 
%      Brighton, BN1 9QG, 
%      United Kingdom.
%    email:   maa@biols.susx.ac.uk 
%    webpage: http://www.biols.susx.ac.uk/Home/Michael_Akeroyd/
%  
% ******************************************************************


numerator = sum(wave.leftwaveform.*wave.rightwaveform);
denominator = ((sum(wave.leftwaveform.^2))^0.5.*(sum(wave.rightwaveform.^2))^0.5);

if (denominator ~= 0)
   rho = numerator/denominator;
else % no signal. so give a silly value
   rho = -999999;
end