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Some adaptive filterbank spectral estimation methods based on FLOS

  • Yong Bian*
  • , Yin Qing Zhou
  • , Chun Sheng Li
  • *Corresponding author for this work
  • University of Calgary
  • Beihang University

Research output: Contribution to journalArticlepeer-review

Abstract

The performance of some adaptive filterbank spectral estimation (AFSE) methods in the symmetric alpha-stable noise environment is studied. Three new AFSE methods based on the fractional lower order statistics (FLOS) (AFSE-FLOS) are presented. These new methods are based on the fractional lower order covariance (FLOC) which are better than the methods based on second order statistics (SOS) and first order statistics (FOS) in the alpha-stable noise. The simulation shows the new methods based on FLOS outperforms their respective methods based on SOS and FOS in the alpha-shable noise while performs similar to their respective methods in the Gaussian noise.

Original languageEnglish
Pages (from-to)1235-1241
Number of pages7
JournalTien Tzu Hsueh Pao/Acta Electronica Sinica
Volume36
Issue number6
StatePublished - Jun 2008

Keywords

  • Adaptive filterbank spectral estimation method (AFSE)
  • Alpha stable distribution
  • Fractional lower order statistics (FLOS)

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