• DocumentCode
    302616
  • Title

    Harmonic long-memory models

  • Author

    Kogon, Stephen M. ; Manolakis, Dimitris G.

  • Author_Institution
    Digital Signal Proc. Lab., Georgia Inst. of Technol., Atlanta, GA, USA
  • Volume
    2
  • fYear
    1996
  • fDate
    12-15 May 1996
  • Firstpage
    501
  • Abstract
    In this paper we address the modeling of long-memory signals with strong harmonic components. Current long-memory models, such as the fractional unit-pole model, fail to address the possibility of periodicities in the data. An example of harmonic long-memory signals is found in heart rate variability signals. We propose the harmonic fractional unit-pole model for modeling both the long-memory and harmonic components. The model is obtained by moving the fractional order pole on the unit circle away from zero frequency in a complex conjugate pair. The characteristics of the model, namely the power spectral density and the autocorrelation function are derived. A method is then given for the generation of harmonic long-memory signals. Finally the harmonic fractional unit-pole model is used to characterize heart rate variability signals
  • Keywords
    cardiology; harmonic analysis; medical signal processing; autocorrelation function; harmonic fractional unit-pole model; heart rate variability; long-memory signal; power spectral density; Autocorrelation; Autoregressive processes; Digital signal processing; Frequency; Heart rate variability; Laboratories; Poles and zeros; Signal generators; Signal processing; Space technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1996. ISCAS '96., Connecting the World., 1996 IEEE International Symposium on
  • Conference_Location
    Atlanta, GA
  • Print_ISBN
    0-7803-3073-0
  • Type

    conf

  • DOI
    10.1109/ISCAS.1996.541756
  • Filename
    541756