Identification of stable nonstationary lattice predictors by linear programming

Time-varying models can be identified by lattice predictors with time-dependent reflection coefficients. The main defect of these predictors is that the magnitude of their coefficients cannot be controlled. In the present work a method is presented for removing such inconvenience based on linear programming.