Stable multi-dimensional model reduction and IIR filter design

  • Authors:
  • J. Abouir;A. Cuyt

  • Affiliations:
  • Faculte des Sciences et Techniques, Department de Mathematiques, Universite Hassan II, B.P. 146 Mohammedia, Morocco.;Department of Mathematics and Computer Science, Universiteit Antwerpen, Middelheimlaan 1, B-2020 Antwerpen, Belgium

  • Venue:
  • International Journal of Computing Science and Mathematics
  • Year:
  • 2007

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Abstract

It is well-known that model reduction techniques applied to stable multi-dimensional Linear Shift-Invariant (LSI) systems with Infinite-extent Impulse Response (IIR) do not necessarily guarantee a stable reduced system. Several conditions exist to check stability a posteriori. In this paper we outline a new technique that guarantees, a priori, that the system or filter is stable. In Section 1 we establish the necessary notation and definitions to deal with multi-dimensional systems and filters. Section 2 introduces the technique of multivariate Pade-type approximation and deals with stability. In Section 3 we illustrate the use of the newly proposed technique in filter design.