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

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1 Author(s)
M. Strintzis ; University of Pittsburgh, Pittsburgh, PA, USA

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.

Published in:

IEEE Transactions on Automatic Control  (Volume:23 ,  Issue: 5 )