• DocumentCode
    2507579
  • Title

    A propagation model basedonstationary random delays

  • Author

    Michel, Patrice ; Lacaze, Bernard

  • Author_Institution
    TeSA Lab., Toulouse, France
  • fYear
    2011
  • fDate
    28-30 June 2011
  • Firstpage
    85
  • Lastpage
    88
  • Abstract
    Most propagation media are characterized by parameters which are time and space varying and cannot be measured. This paper proposes a unified model which is able to fit a wide range of wave spectra encountered in acoustics, ultrasonics, and electromagnetics. This model considers that media crossed by waves are characterized by stationary random propagation delays using a bidimensional probability distribution and a limited number of parameters. Gaussian processes are well-fitted to propagation through large distances due to the central limit theorem, but other kinds of processes can be considered for wave propagation through small thicknesses. Examples illustrate the interest of such a model for frequency bands going from acoustics up to light frequencies.
  • Keywords
    Gaussian processes; acoustic wave propagation; delays; electromagnetic wave propagation; probability; ultrasonic propagation; Gaussian process; bidimensional probability distribution; central limit theorem; light frequency; stationary random delay; stationary random propagation delay; wave propagation model; wave spectra; Acoustics; Attenuation; Backscatter; Media; Noise; Probability distribution; Propagation delay; Gaussian processes; acoustics; redshift; stable probability laws; wave propagation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Statistical Signal Processing Workshop (SSP), 2011 IEEE
  • Conference_Location
    Nice
  • ISSN
    pending
  • Print_ISBN
    978-1-4577-0569-4
  • Type

    conf

  • DOI
    10.1109/SSP.2011.5967834
  • Filename
    5967834