Consider the case where a speech,
, is passed through the linear
predictor, a, corresponding to a template. The residual mean squared
error, E, is:

So can define

Or in the autocorrelation case:

Let
be the augmented vector of ``template'' or
``reference'' LP coefficients
and
the
augmented vector of ``observed'' or
``unknown'' LP coefficients
then:

In the autocorrelation case this can be computed with similar complexity
to the Euclidean distance.
