help text updated

dl.m

@@ -3,8 +3,10 @@ function [a_out, b_out]=dl(x)
 %    A=DL(X) computes the mean of the length of the diagonal 
 %    line structures in a recurrence plot.
 %
-%    [A B]=DL(X) computes the mean A and the distribution of the
-%    length of the diagonal line structures, stored in B.
+%    [A B]=DL(X) computes the mean A and the lengths of the
+%    found diagonal lines, stored in B. In order to get the 
+%    histogramme of the line lengths, simply call 
+%    HIST(B,[1 MAX(B)]).
 %
 %    Examples: X = crp(rand(200,1),1,1,.3,'fan','silent');
 %              [l l_dist] = dl(X);
@@ -20,6 +22,9 @@ function [a_out, b_out]=dl(x)
 % $Revision$
 %
 % $Log$
+% Revision 3.2  2005/03/16 11:19:02  marwan
+% help text modified
+%
 % Revision 3.1  2004/11/10 07:07:35  marwan
 % initial import
 %

tt.m

@@ -4,8 +4,10 @@ function [a_out, b_out]=tt(x)
 %    line structures in a recurrence plot, so called trapping 
 %    time TT.
 %
-%    [A B]=TT(X) computes the TT and the distribution of the
-%    length of the vertical line structures, stored in B.
+%    [A B]=TT(X) computes the TT and the lengths of the
+%    found vertical lines, stored in B. In order to get the 
+%    histogramme of the line lengths, simply call 
+%    HIST(B,[1 MAX(B)]).
 %
 %    Examples: X = crp(rand(200,1),1,1,.3,'fan','silent');
 %              [v v_dist] = tt(X);
@@ -21,6 +23,9 @@ function [a_out, b_out]=tt(x)
 % $Revision$
 %
 % $Log$
+% Revision 3.2  2005/03/16 11:19:02  marwan
+% help text modified
+%
 % Revision 3.1  2004/11/10 07:07:35  marwan
 % initial import
 %