Simulation of nonstationary spectral analysis of turbulence in the aorta using a modified autoregressive or maximum entropy (AR/ME) method

Takami Yamaguchi, S. Kikkawa, K. H. Parker

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

A new method of parametric spectral calculation based on the ensemble average technique, which is a natural expansion of the Burg's maximum entropy method, is proposed. This method is applied to a set of numerical simulation data which simulate turbulent velocity fluctuations data measured in the canine aorta with a hot-film anemometer. The autoregressive order of the spectral calculation is chosen by the minimum AIC (Akaike's information criteria) method. It is shown that the proposed method used with the minimum AIC method has a very good performance calculating smooth averaged spectra in the short-time quasisteady spectral analysis of nonstationary processes such as turbulence in the aorta.

Original languageEnglish
Pages (from-to)533-542
Number of pages10
JournalMedical & Biological Engineering & Computing
Volume25
Issue number5
DOIs
Publication statusPublished - 1987 Sep 1

Keywords

  • Autoregressive spectrum analysis
  • Ensemble average
  • Maximum entropy method
  • Nonstationary stochastic process
  • Spectral analysis
  • Turbulence in the aorta

ASJC Scopus subject areas

  • Biomedical Engineering
  • Computer Science Applications

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