Rational interpolation of analytic functions from real or imaginary parts of frequency-response data: A subspace-based approach

Akçay H., TÜRKAY S.

IEEE Signal Processing Letters, vol.16, no.5, pp.350-353, 2009 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 16 Issue: 5
  • Publication Date: 2009
  • Doi Number: 10.1109/lsp.2009.2016016
  • Journal Name: IEEE Signal Processing Letters
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.350-353
  • Keywords: Conjugate function, Hilbert transform, rational interpolation, subspace-based identification, DOMAIN POWER SPECTRA, IDENTIFICATION
  • Anadolu University Affiliated: Yes

Abstract

In this letter, construction of analytic functions from evaluations of real or imaginary parts on finite subsets of the unit circle is studied. The points in the subsets are not necessarily uniformly spaced as in the most existing works. An algorithm exactly retrieving finite-dimensional systems from noise-free data is presented. This algorithm is based on a recent frequency-domain subspace algorithm to identify discrete-time power spectra from non-uniformly spaced measurements and inherits consistency and robustness properties of the latter with respect to inaccuracies in data. © 2009 IEEE.