• DocumentCode
    178089
  • Title

    Cramér-rao bound for sampling & reconstruction of FRI signals

  • Author

    Angierski, Andre ; Kuehn, Volker

  • Author_Institution
    Insitute of Communicatons Eng., Univ. of Rostock, Rostock, Germany
  • fYear
    2014
  • fDate
    4-9 May 2014
  • Firstpage
    1793
  • Lastpage
    1797
  • Abstract
    This paper analyses the estimation process for Finite Rate of Innovation (FRI) signals. The main contribution is the derivation of the well known Cramér-Rao Bound (CRB) for the estimation of signal parameters for a pulse stream. Other publications consider the estimation of the signal instead of its parameters or omit the effect of sampling. In this contribution both effect are considered and analytical expressions for the Fisher Information Matrix are obtained. Furthermore, for the estimation of parameters of a single pulse analytical expressions for CRB are given and for the case of multiple pulses dependencies of the CRB of the distance between the pulses are illustrated.
  • Keywords
    estimation theory; matrix algebra; signal reconstruction; signal sampling; CRB; Cramer-rao bound; FRI signal reconstruction; FRI signal sampling; estimation process; finite rate of innovation; fisher information matrix; pulse stream; signal parameters; single pulse analytical expressions; AWGN; Bandwidth; Estimation; Kernel; Reliability; Technological innovation; CRB; CRLB; Cramér-Rao Bound; FRI; Finite Rate of Innovation; minimum error variance; spectral estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
  • Conference_Location
    Florence
  • Type

    conf

  • DOI
    10.1109/ICASSP.2014.6853907
  • Filename
    6853907