wolffd@0: function varargout = mirspread(orig,varargin)
wolffd@0: %   S = mirspread(x) calculates the spread of x, which can be either:
wolffd@0: %       - a spectrum (spectral spread),
wolffd@0: %       - an envelope (temporal spread), or
wolffd@0: %       - any histogram.
wolffd@0: 
wolffd@0: 
wolffd@0: varargout = mirfunction(@mirspread,orig,varargin,nargout,struct,@init,@main);
wolffd@0: 
wolffd@0: 
wolffd@0: function [x type] = init(x,option)
wolffd@0: if not(isamir(x,'mirdata')) || isamir(x,'miraudio')
wolffd@0:     x = mirspectrum(x);
wolffd@0: end
wolffd@0: type = 'mirscalar';
wolffd@0: 
wolffd@0: 
wolffd@0: function S = main(x,option,postoption)
wolffd@0: if iscell(x)
wolffd@0:     x = x{1};
wolffd@0: end
wolffd@0: y = peaksegments(@spread,get(x,'Data'),...
wolffd@0:                          get(x,'Pos'),...
wolffd@0:                          get(mircentroid(x),'Data'));
wolffd@0: if isa(x,'mirspectrum')
wolffd@0:     t = 'Spectral spread';
wolffd@0: elseif isa(x,'mirenvelope')
wolffd@0:     t = 'Temporal spread';
wolffd@0: else
wolffd@0:     t = ['Spread of ',get(x,'Title')];
wolffd@0: end
wolffd@0: S = mirscalar(x,'Data',y,'Title',t);
wolffd@0: 
wolffd@0: 
wolffd@0: function s = spread(d,p,c)
wolffd@0: s = sqrt( sum((p-c).^2.*d) ) ./ sum(d);