Identification of 2-D noncausal systems

This paper presents methods for the identification of noncausal two-dimensional rational systems from impulse response or output covariance data. Consideration of the general class of noncausal systems is motivated by the need for noncausal models in two-dimensional power spectrum estimation. The identification methods studied here rely on a recently proposed notion of system state for noncausal systems.