On the identification of systems from data measurements using ARMA lattice models

Methods for the autoregressive moving average (ARMA) modeling of digital systems using a two-channel autoregressive (AR) lattice are presented. One method has the advantage that one-half of the lattice parameters are zero when the system's excitation signal is white noise.

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