Generalized 2D lattice structure for causal and noncausal modeling of random fields

Abstract

In this paper, the authors propose a new method to construct a low complexity and general purpose 2D lattice structure for modeling of random fields. The algorithm for obtaining this structure by employing the auxiliary vertical and horizontal prediction error fields is outlined. It is shown that the proposed 2D lattice structure with a rectangular prediction support region can be used to simultaneously obtain all possible causal and noncausal 2D models.