• DocumentCode
    2600919
  • Title

    Detection and estimation of multiplicative jumps

  • Author

    TOURNERET, Jean- Yues ; Chabert, Marie ; Ghogho, Mounir

  • Author_Institution
    ENSEEIHT/GASPE, Toulouse, France
  • fYear
    1996
  • fDate
    24-26 Jun 1996
  • Firstpage
    20
  • Lastpage
    23
  • Abstract
    Multiplicative jumps have been considered in many applications. These applications include speckle signal in radar images, mechanical vibrations, non-linear time series and random communication models. The problem addressed here is the detection of multiplicative jumps using the Neyman-Pearson test. This test constitutes a reference to which suboptimal detectors can be compared. In practical applications, the parameters of the noise and of the jump have to be estimated. The maximum likelihood estimator and the Cramer Rao bound for these parameters are then studied
  • Keywords
    maximum likelihood estimation; noise; parameter estimation; radar imaging; random processes; signal detection; speckle; time series; vibrations; Cramer Rao bound; Neyman-Pearson test; maximum likelihood estimator; mechanical vibrations; multiplicative jump detector; multiplicative jump estimation; noise parameters; nonlinear time series; radar images; random communication models; speckle signal; suboptimal detectors; Cramer-Rao bounds; Detectors; Maximum likelihood detection; Maximum likelihood estimation; Radar applications; Radar detection; Radar imaging; Speckle; Testing; Vibrations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Statistical Signal and Array Processing, 1996. Proceedings., 8th IEEE Signal Processing Workshop on (Cat. No.96TB10004
  • Conference_Location
    Corfu
  • Print_ISBN
    0-8186-7576-4
  • Type

    conf

  • DOI
    10.1109/SSAP.1996.534810
  • Filename
    534810