  We show that the same maximum entropy principle applied to recurrence
microstates configures a new way to properly compute the time delay necessary
to correctly sample a data set. The new method retrieves results obtained using
traditional methods with the advantage of being independent of any free
parameter. Since all parameters are automatically set, the method is suitable
for use in artificial (computational) intelligence algorithms, recovering
correct information embedded in time series, and rationalizing the process of
data acquisition since only relevant data must be collected.
