• DocumentCode
    2945604
  • Title

    Estimating the parameters for an exponential process via a Hough transform

  • Author

    Feinstein, D.I. ; Holt, Fred

  • Author_Institution
    Boeing High Technol. Center, Seattle, WA, USA
  • fYear
    1990
  • fDate
    3-6 Apr 1990
  • Firstpage
    2475
  • Abstract
    A technique for estimating the decay rate and predicting the steady-state level of an exponential process is developed. For a time-varying process that is not purely exponential, the technique produces moving estimates and predictions. The technique gives a differential model of an exponential with a Hough transform. The differential model generalizes the definitions of decay rate and steady-state level to encompass time variation, constraining one in terms of the other. The Hough transform then disentangles the two, using a continuity assumption to solve an otherwise ill-posed problem. The technique is computationally simpler than maximum likelihood and compares favorably to it when applied to real data
  • Keywords
    parameter estimation; spectral analysis; time-varying systems; transforms; Hough transform; decay rate; differential model; exponential process; parameter estimation; steady-state level; time-varying process; Differential equations; Frequency; Maximum likelihood estimation; Parameter estimation; Quantum computing; Signal analysis; Signal processing; Steady-state; Time factors; Time series analysis; Transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on
  • Conference_Location
    Albuquerque, NM
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.1990.116095
  • Filename
    116095