Dynamic representation and recursive estimation of cyclic and two-dimensional processes

Autoregressive-moving average dynamic models are construtted for nonstationary processes which exhibit cyclic behavior. Recursive linear mean-square prediction and filtering policies are then formulated which utilize these models. Application to a problem in two-dimensional image restoration is considered in detail.