norcol.m

function [norme] = norcol(Mat)
%NORCOL - (French) squared sum of each column in a matrix
% function [norme] = norcol(Mat)
%
% Note: This form will fail if Mat is a row vector, returning a scalar rather than 
%  another row vector.
% See also COLNORM
%
% norme est un vecteur 
% qui contient les normes^2
% des colonnes de la matrice Mat

%<autobegin> ---------------------- 27-Jun-2005 10:45:19 -----------------------
% ------ Automatically Generated Comments Block Using AUTO_COMMENTS_PRE7 -------
%
% CATEGORY: Utility - General
%
% At Check-in: $Author: Mosher $  $Revision: 16 $  $Date: 6/27/05 9:00a $
%
% This software is part of BrainStorm Toolbox Version 27-June-2005  
% 
% Principal Investigators and Developers:
% ** Richard M. Leahy, PhD, Signal & Image Processing Institute,
%    University of Southern California, Los Angeles, CA
% ** John C. Mosher, PhD, Biophysics Group,
%    Los Alamos National Laboratory, Los Alamos, NM
% ** Sylvain Baillet, PhD, Cognitive Neuroscience & Brain Imaging Laboratory,
%    CNRS, Hopital de la Salpetriere, Paris, France
% 
% See BrainStorm website at http://neuroimage.usc.edu for further information.
% 
% Copyright (c) 2005 BrainStorm by the University of Southern California
% This software distributed  under the terms of the GNU General Public License
% as published by the Free Software Foundation. Further details on the GPL
% license can be found at http://www.gnu.org/copyleft/gpl.html .
% 
% FOR RESEARCH PURPOSES ONLY. THE SOFTWARE IS PROVIDED "AS IS," AND THE
% UNIVERSITY OF SOUTHERN CALIFORNIA AND ITS COLLABORATORS DO NOT MAKE ANY
% WARRANTY, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO WARRANTIES OF
% MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE, NOR DO THEY ASSUME ANY
% LIABILITY OR RESPONSIBILITY FOR THE USE OF THIS SOFTWARE.
%<autoend> ------------------------ 27-Jun-2005 10:45:19 -----------------------

% ----------------------------------------
% Sylvain Baillet, Ph.D.author.
% John C. Mosher, Ph.D.
% JCM 18-Jun-2002 Made function consistent with colnorm, now handles complex and row
%                 vector cases
% ----------------------------------------

if(0)
   % old baillet code
   %norme = diag(Mat'*Mat);
   
   norme = (sum(Mat.*Mat));
   
else
   
   % give the square L2 norm for each column, for complex and for row vectors
   norme = sum(Mat.*conj(Mat),1);
   
end