function normalised_data = normalise_to_bounds(data, lower_bound, upper_bound)
% NORMALISE_TO_BOUNDS: Normalises data to lie within boundaries.
%
%    ABOUT
%
%      -Created:     November 23rd, 2003
%      -Last update: Novermber 26th, 2003
%      -Revision:    0.0.7
%      -Author:      Katherine Smith, R. S. Schestowitz, University of Manchester
% ==============================================================


if(nargin ==1)
      % set some range defaults if no arguments given
      
  lower_bound = 0;
  upper_bound = 1;
end

mins = min(data); 
      % get minimum of data
      
data_less_mins = data - repmat(mins,size(data,1),1); 
      % subtract minimum from data, i.e. shift it as close
      % as possible to x axis without reaching negative values
      
maxs = max(data_less_mins);
      % get maximum of the data above (global maximum of curve)
      
normalised_data = lower_bound + (data_less_mins ./ repmat(maxs,size(data,1),1)) * (upper_bound - lower_bound);