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

doi:10.1007/BF02441746

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

MEN - Biomedical Engineering

Research output: Contribution to journal › Article › peer-review

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 language	English
Pages (from-to)	533-542
Number of pages	10
Journal	Medical & Biological Engineering & Computing
Volume	25
Issue number	5
DOIs	https://doi.org/10.1007/BF02441746
Publication status	Published - 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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10.1007/BF02441746

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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.",

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T1 - Simulation of nonstationary spectral analysis of turbulence in the aorta using a modified autoregressive or maximum entropy (AR/ME) method

AU - Yamaguchi, Takami

AU - Kikkawa, S.

AU - Parker, K. H.

PY - 1987/9/1

Y1 - 1987/9/1

N2 - 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.

AB - 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.

KW - Autoregressive spectrum analysis

KW - Ensemble average

KW - Maximum entropy method

KW - Nonstationary stochastic process

KW - Spectral analysis

KW - Turbulence in the aorta

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

Abstract

Keywords

ASJC Scopus subject areas

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