• DocumentCode
    1519966
  • Title

    An RKHS approach to robust L2 estimation and signal detection

  • Author

    Barton, Richard J. ; Poor, H. Vincent

  • Author_Institution
    ORINCON Corp., San Diego, CA, USA
  • Volume
    36
  • Issue
    3
  • fYear
    1990
  • fDate
    5/1/1990 12:00:00 AM
  • Firstpage
    485
  • Lastpage
    501
  • Abstract
    The application of RKHS (reproducing kernel Hilbert space) theory to the problems of robust signal detection and estimation is investigated. It is shown that this approach provides a general and unified framework in which to analyze the problems of L2 estimation, matched filtering, and quadratic detection in the presence of uncertainties regarding the second-order structure of the random processes involved
  • Keywords
    filtering and prediction theory; matched filters; parameter estimation; signal detection; RKHS approach; matched filtering; quadratic detection; random processes; reproducing kernel Hilbert space; robust L2 estimation; signal detection; Filtering; Hilbert space; Kernel; Matched filters; Minimax techniques; Noise robustness; Nonlinear filters; Random processes; Signal detection; Uncertainty;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/18.54898
  • Filename
    54898
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1519966