Presents basic theories, techniques, and procedures used to analyze, design, and
implement two-dimensional filters; and surveys a number of applications in image and …

It is shown that singular-value decomposition (SVD) can be applied along with 1-D finite-
impulse-response (FIR) techniques to design linear-phase 2-D filters with arbitrary …

A generalized balanced approximation method for reducing two-dimensional (2-D) and
delay-differential models is given. This is possible because of the form the gramians of such …

The areas of linear and nonlinear three-dimensional (3-D) digital filters have received
increasing attention in recent years. 3-D linear and nonlinear filters inherently belong to the …

A derivation is presented of the optimum step size to yield the most rapid convergence under
a desired mean-square error (MSE) for adaptive finite impulse response digital filters …

The problem of minimal state space realization of two-dimensional systems is considered.
The approach followed is, initially, to derive a circuit realization of the given transfer function …

This paper treats error spectrum shaping for two-dimensional recursive digital filters,
described by a rational transfer function as well as the Roesser local state-space model. For …

In this brief, we present a subspace system identification framework for 2-D separable-in-
denominator systems with deterministic-stochastic inputs in the Roesser form. The …

This paper investigates the problem of frequency-weighted l 2-sensitivity minimization
subject to l 2-scaling constraints for two-dimensional (2-D) state-space digital filters …

This paper treats the coefficient sensitivity of two-dimensional (2-D) separable-denominator
digital filters using the Roesser local state-space model. Two techniques suitable for 2-D …