SUBSPACE-BASED RATIONAL INTERPOLATION FROM PHASE DATA

Akcay H.

15th IEEE/SP Workshop on Statistical Signal Processing, Cardiff, İngiltere, 31 Ağustos - 03 Eylül 2009, ss.736-739 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/ssp.2009.5278460
  • Basıldığı Şehir: Cardiff
  • Basıldığı Ülke: İngiltere
  • Sayfa Sayıları: ss.736-739
  • Anahtar Kelimeler: Rational interpolation, phase data, Hilbert transform, subspace-based identification, strong consistency, FREQUENCY-RESPONSE DATA, IDENTIFICATION
  • Anadolu Üniversitesi Adresli: Hayır

Özet

In this paper, a subspace-based identification algorithm to identify stable linear-time-invariant systems from corrupted phase samples of the frequency response function on nonuniformly spaced grid of frequencies are developed. The algorithm is strongly consistent if the corruptions are zero-mean random variables with a known covariance function. Furthermore, it exactly retrieves finite-dimensional systems from noise-free phase data using a finite amount of data.