Adaptive fractional Fourier domain filtering

Durak L., ALDIRMAZ S.

SIGNAL PROCESSING, cilt.90, sa.4, ss.1188-1196, 2010 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 90 Sayı: 4
  • Basım Tarihi: 2010
  • Doi Numarası: 10.1016/j.sigpro.2009.10.002
  • Dergi Adı: SIGNAL PROCESSING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1188-1196
  • Yıldız Teknik Üniversitesi Adresli: Hayır

Özet

A novel adaptive filtering scheme based on fractional Fourier transform (FrFT) is introduced and characterized. As a generalization of the ordinary Fourier transform, FrFT is a powerful analysis tool to describe signals with chirp-type components. We show that in case of linear frequency modulated (LFM) signals fractional Fourier domain adaptive filtering schemes provide less error and faster convergence. The adaptation algorithm is employed in an active noise control system application with various LFM signals and a real multi-component signal. Simulation results present that the adaptation performance in FrFT-domain adaptive filtering is superior compared to time-domain adaptation. (C) 2009 Elsevier B.V. All rights reserved.