Autoregressive Recursive Algorithms for Maximum Frequency Estimate of Doppler Ultrasonic Signals

  • L. Agostini
  • A. Fort
  • C. Manfredi
  • L. Masotti
  • F. Picchiarini
  • S. Rocchi
Part of the Acoustical Imaging book series (ACIM, volume 21)

Abstract

Doppler ultrasound technique is widely used in medical applications to extract the blood velocity distribution in human arteries from Doppler frequency shift. A real-time spectral analysis of Doppler shift signals provides the time evolution of the velocity distribution in the vessels. An interesting clinical application of Doppler ultrasound technique is the estimate of the maximum frequency, beyond which the Power Spectral Density (PSD) signal-to-noise ratio goes below 0 dB.

Keywords

Covariance Acoustics Iraq 

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References

  1. 1.
    L. Cohen, Time-frequency distribution - a review, Proc. IEEE 77–7. 941:981 (1989).ADSCrossRefGoogle Scholar
  2. 2.
    S.L.Marple. “Digital Spectral Analysis with Applications,” Prentice-Hall Inc., Englewood Cliffs, NJ (1987).Google Scholar
  3. 3.
    D.T.M. Slock and T.Kailath, Numerically stable fast transversal filter for recursive least square adaptive filtering, IEEE Trans, on Signal Processing 39–1. (1991).Google Scholar
  4. 4.
    H. Akaike, Power spectrum estimation through autoregression model fitting, Ann. Inst. Stat. Math 21, 407:419 (1969).MathSciNetMATHCrossRefGoogle Scholar
  5. 5.
    H. Akaike, A new look at the statistical model identification, IEEE Trans. AC 19, 716:723 (1974).MathSciNetMATHCrossRefGoogle Scholar
  6. 6.
    F.S. Schlindwein and D.H.Evans, Autoregressive spectral analysis as an alternative to fast fourier transform analysis of doppler ultrasound signals, in: “Diagnostic Vascular Ultrasound,” K.H.Labs et al.Eds., E.Arnold, London, UK, 74:84 (1992).Google Scholar
  7. 7.
    F.S. Schlindwein and D.H.Evans, Selection of the order of autoregressive models for spectral analysis of doppler ultrasound signals, Ultras, in Med. and Biol. 16–1, 81:91. (1990).CrossRefGoogle Scholar
  8. 8.
    S.Dessi’, A.Fort, C.Manfredi, S.Rocchi, Adaptive ar model order estimation for doppler signals spectral analysis, Proc. IF AC Sysid Symposium 4–6 July 94, Copenhagen DK (1994).Google Scholar
  9. 9.
    B.D. Rao and K.S.Arun, Model based processing of signals: a state-space approach. Proc. IEEE 80–2, 283:309 (1992).CrossRefGoogle Scholar
  10. 10.
    L. Hatle and B.Angelsen. “Doppler Ultrasound in Cardiology”, Lea & Febiger, Philadelphia (1982).Google Scholar

Copyright information

© Springer Science+Business Media New York 1995

Authors and Affiliations

  • L. Agostini
    • 1
  • A. Fort
    • 1
  • C. Manfredi
    • 1
  • L. Masotti
    • 1
  • F. Picchiarini
    • 1
  • S. Rocchi
    • 2
  1. 1.Dipartimento di Ingegneria ElettronicaUniversità degli Studi di FirenzeFirenzeItalia
  2. 2.Dipartimento di Ingegneria ElettronicaUniversità degli Studi di SienaSienaItalia

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