Convert Reflection Coefficients into Prediction Coefficients.

Convert reflection coefficients into linear prediction coefficients using Levinson recursion.

A = rc2lpc(K):

K is vector of reflection coefficients: K = [k1, k2, ..., kp].

A is vector of linear prediction coefficients: A = [1, a_p(1), a_p(2),..., a_p(p)]

If the second input argument is passed, i.e.,
A = rc2lpc(K,'matrix'),
then A is the matrix:
[1, 0, 0, 0,..............,0;
1, a_1(1),0,0.........,0;
1, a_2(1), a_2(2),....0;
.
.
.
1,a_p(1),a_p(2),...,a_p(p)]