Efficient computation of the covariance sequence of an autoregressive process

An efficient algorithm is presented for computing the covariance sequence of a multichannel autoregressive process represented by a set of reflection coefficients. The covariance sequence is shown to be the impulse response of a certain lattice filter related to the optimal predictor.