• DocumentCode
    36510
  • Title

    Fractional Sampling Theorem for \\alpha -Bandlimited Random Signals and Its Relation to the von Neumann Ergodic Theorem

  • Author

    Torres, Ricardo ; Lizarazo, Zandra ; Torres, Estela

  • Author_Institution
    Grupo de Opt. y Tratamiento de Senales, Univ. Ind. de Santander, Bucaramanga, Colombia
  • Volume
    62
  • Issue
    14
  • fYear
    2014
  • fDate
    15-Jul-14
  • Firstpage
    3695
  • Lastpage
    3705
  • Abstract
    Considering that fractional correlation function and the fractional power spectral density, for α-stationary random signals, form a fractional Fourier transform pair. We present an interpolation formula to estimate a random signal from a temporal random series, based on the fractional sampling theorem for α-bandlimited random signals. Furthermore, by establishing the relationship between the sampling theorem and the von Neumann ergodic theorem, the estimation of the power spectral density of a random signal from one sample signal becomes a suitable approach. Thus, the validity of the sampling theorem for random signals is closely linked to an ergodic hypothesis in the mean sense.
  • Keywords
    Fourier transforms; correlation methods; interpolation; signal sampling; α-bandlimited random signals; α-stationary random signals; fractional Fourier transform; fractional correlation function; fractional power spectral density; fractional sampling theorem; signal sampling; temporal random series; von Neumann ergodic theorem; Correlation; Estimation; Fourier transforms; Interpolation; Random variables; Standards; Time-frequency analysis; Stochastic processes; fractional Fourier transform; fractional correlation; fractional power spectrum; sampling theorem;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2014.2328977
  • Filename
    6825830