In any AR model, the prediction error variance
(See Section 9.4) and the total power
(equivalently the zero-th ACF lag)
are interchangeable (one can be gotten from the other).
But, in a classifier, they may produce different
results. We therefore facilitate using one or the other.
software/module_acf2rc.m, software/module_ar_mlx.m, and software/module_ar_ml.m allow choosing (argument e0flag default is ).
But, we can get from and
with the rlevinson function.
The module software/module_as2r0.m is designed for that purpose.