Compute reflection coefficients from autocorrelation sequence
k = schurrc(r) uses the Schur algorithm to compute a vector k of reflection coefficients from a vector r representing an autocorrelation sequence. k and r are the same size. The reflection coefficients represent the lattice parameters of a prediction filter for a signal with the given autocorrelation sequence, r. When r is a matrix, schurrc treats each column of r as an independent autocorrelation sequence, and produces a matrix k, the same size as r. Each column of k represents the reflection coefficients for the lattice filter for predicting the process with the corresponding autocorrelation sequence r.
Create an autocorrelation sequence from the MATLAB® speech signal contained in mtlb.mat, and use the Schur algorithm to compute the reflection coefficients of a lattice prediction filter for this autocorrelation sequence:
load mtlb r = xcorr(mtlb(1:5),'unbiased'); k = schurrc(r(5:end)) k = -0.7583 0.1384 0.7042 -0.3699
 Proakis, J. and D. Manolakis, Digital Signal Processing: Principles, Algorithms, and Applications, Third edition, Prentice-Hall, 1996, pp.868-873.