A systematic and conceptually simple algorithm is presented for the determination of the
transfer function for two-dimensional generalised or singular systems. The method uses the …

In this paper the discrete Fourier transform is used to determine the coefficients of a transfer
function of a new two-dimensional system model of second-order: x (i/sub 1/+ 2, i/sub 2/+ 2) …

In this chapter, focusing on time-varying matrix inversion, we propose, generalize, develop,
and investigate different ZFs that lead to different ZD models. Meanwhile, a specific …

A general analytic method for the evaluation of generalised quadratic integrals of the form
Jμ, ν (σ)=∫ 0∞ tμexp (σt)(dνe (t)/dtν) 2dt, where μ and ν are integers and e (t) is the error …

This paper proposes a tractable iterative scheme for computing parameter-dependent matrix
sign function. It relies upon two results:(i) a fraction expansion of the matrix sign principal …

This paper presents a general method of evaluating cross-correlation sequences and
double-complex integrals for two-dimensional autoregressive moving average processes …

Gaussian process (GP) is a Bayesian nonparametric regression model, showing good
performance in various applications. Similar to other computational models, Gaussian …

An algorithm is presented to compute the variance of the output of a two-dimensional (2-D)
stable auto-regressive moving-average (ARMA) process driven by a white noise bi …

The problem of evaluating a cross‐covariance functional of the form 1/2πi? i8‐i8 F (s) G (‐s)
ds arises, eg, in parametric optimization of linear systems and in optimal linear filtering. In …

A computationally simple algorithm for determining the transfer function of multidimensional
singular systems, described by a state-space model based on the Givone-Roesser state …