• DocumentCode
    2332614
  • Title

    A Numerical Method to Compute Cramer-Rao-Type Bounds for Challenging Estimation Problems

  • Author

    Dauwels, Justin ; Korl, Sascha

  • Volume
    5
  • fYear
    2006
  • fDate
    14-19 May 2006
  • Abstract
    A numerical algorithm is proposed to compute Cramer-Rao-type bounds. The Cramer-Rao-type bounds are derived from information matrices of marginals of the joint pdf of the system at hand. The key ingredient is message-passing on a factor graph of the system. The method can be applied to a wide class of estimation problems. As an illustration, the problem of estimating the parameters of an AR model is considered
  • Keywords
    graph theory; matrix algebra; message passing; probability; signal processing; Cramer-Rao-type bounds; factor graph; information matrices; message-passing; Closed-form solution; Context; Estimation error; Maximum a posteriori estimation; Maximum likelihood estimation; Parameter estimation; Random variables; Signal processing; Signal processing algorithms; Sparse matrices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
  • Conference_Location
    Toulouse
  • ISSN
    1520-6149
  • Print_ISBN
    1-4244-0469-X
  • Type

    conf

  • DOI
    10.1109/ICASSP.2006.1661376
  • Filename
    1661376