time delay-mutual information

I wanna use mutual information to get time delay.I find a code as follows:

function v = MI(label, result) % Nomalized mutual information % Written by Mo Chen (<mailto:[e-mail] [e-mail]>). March 2009.

assert(length(label) == length(result));

label = label(:); result = result(:);

n = length(label);

label_unique = unique(label); result_unique = unique(result);

% check the integrity of result

if length(label_unique) ~= length(result_unique)

error('The clustering result is not consistent with label.'); end;

c = length(label_unique);

% distribution of result and label

Ml = double(repmat(label,1,c) == repmat(label_unique',n,1)); Mr = double(repmat(result,1,c) == repmat(result_unique',n,1)); Pl = sum(Ml)/n; Pr = sum(Mr)/n;

% entropy of Pr and Pl

Hl = -sum( Pl .* log2( Pl + eps ) ); Hr = -sum( Pr .* log2( Pr + eps ) );

% joint entropy of Pr and Pl % M = zeros(c); % for I = 1:c % for J = 1:c % M(I,J) = sum(result==result_unique(I)&label==label_unique(J)); % end; % end; % M = M / n;

M = Ml'*Mr/n; Hlr = -sum( M(:) .* log2( M(:) + eps ) );

% mutual information

v = Hl + Hr - Hlr;

I know label,result comes from label to solve time delay.How can I input(label,result),that is to say,how to define result?3Q