• DocumentCode
    861920
  • Title

    Maximum likelihood using an array processor

  • Author

    Sridhar, Banavar ; Aubrun, Jean-Noel

  • Author_Institution
    University of Connecticut, Storrs, CT, USA
  • Volume
    7
  • Issue
    1
  • fYear
    1987
  • fDate
    2/1/1987 12:00:00 AM
  • Firstpage
    35
  • Lastpage
    38
  • Abstract
    Maximum likelihood estimation (MLE) is a method used to calculate the parameters of a dynamic system. It can be applied to a large class of problems and has good statistical properties. The main disadvantage of the MLE method is the amount of computation required. This paper describes how the computation time can be reduced significantly by using an array processor. The estimation of the parameters of a dynamic model of the space station is used as an example to evaluate the method.
  • Keywords
    Array processing; maximum-likelihood (ML) estimation; Application software; Circuits; DH-HEMTs; Laboratories; Libraries; Maximum likelihood estimation; NASA; Parameter estimation; Signal processing algorithms; Space stations;
  • fLanguage
    English
  • Journal_Title
    Control Systems Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0272-1708
  • Type

    jour

  • DOI
    10.1109/MCS.1987.1105239
  • Filename
    1105239
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=861920