• DocumentCode
    2852686
  • Title

    New results on almost-sure identifiability of 2D-harmonic retrieval

  • Author

    Pesavento, Marius ; Mecklenbräuke, Christoph E. ; Bohme, Johann

  • Author_Institution
    Dept. of Electr. Eng. & Information Sci., Ruhr-Univ., Bochum, Germany
  • fYear
    2003
  • fDate
    28 Sept.-1 Oct. 2003
  • Firstpage
    133
  • Lastpage
    136
  • Abstract
    In this paper the 2D harmonic retrieval problem is considered. New stochastic identifiability results are derived which equally holds true for the damped and undamped exponential mixtures. Previous results obtained for the 2D case indicate that up to K/2 L/2 exponentials can almost-surely be identified. In this contribution, we show that this bound is conservative. Simulations indicate that at least (KL)/3 harmonics can uniquely be resolved almost-surely. In the second part of the paper the obtained identifiability conditions are compared to stochastic uniqueness conditions of the 2D RARE algorithm.
  • Keywords
    harmonic analysis; signal processing; stochastic processes; 2D-harmonic retrieval; damped exponential mixtures; stochastic identifiability; undamped exponential mixtures; Area measurement; Chemistry; Frequency; Image retrieval; Motion estimation; Sensor arrays; Signal resolution; Size measurement; Spatial resolution; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Statistical Signal Processing, 2003 IEEE Workshop on
  • Print_ISBN
    0-7803-7997-7
  • Type

    conf

  • DOI
    10.1109/SSP.2003.1289358
  • Filename
    1289358