This work tackles the problem of modeling nonlinear systems using Volterra models based
on Kautz functions. The drawback of requiring a large number of parameters in the …

Frequency-warped filters have recently been applied successfully to a number of audio
applications. The idea of all-pass delay elements replacing unit delays in digital filters allows …

This paper provides an overview of system identification using orthonormal basis function
models, such as those based on Laguerre, Kautz, and generalised orthonormal basis …

In this paper we address the problem of approximating functions on a semi-infinite interval
by truncated series of orthonormal generalized Laguerre functions. The generalized …

Volterra models are very useful for signal and system representation due to their general
nonlinear structure and their property of linearity with respect to their parameters, the kernel …

A novel technique for selecting the poles of orthonormal basis functions (OBF) in Volterra
models of any order is presented. It is well-known that the usual large number of parameters …

Kautz functions have received much attention in the recent mathematical modeling and
identification literature. These functions which involve free parameters can approximate …

Presents optimality conditions for the approximation of a SISO system by a truncated Kautz
network with two repeating complex conjugate poles. Both the continuous and the discrete …

In this study, the authors investigate the parametric complexity reduction of the Meixner‐like
model for linear discrete‐time system representation. The use of the Meixner‐like functions …

Frequency war** using all pass structures or Laguerre filters has increasingly found
applications in audio signal processing due to having a good match with auditory frequency …