• DocumentCode
    1211718
  • Title

    The two source maximum likelihood function

  • Author

    Piper, John E.

  • Author_Institution
    Signal Process. Syst., Panama City, CA, USA
  • Volume
    1
  • Issue
    12
  • fYear
    1994
  • Firstpage
    203
  • Lastpage
    204
  • Abstract
    The maximum likelihood method is designed to yield high resolution estimates in a multiple source environment. The article derive a simplified representation of the maximum likelihood function for the two source case. This case is instructive to understand when and why the full power of the maximum likelihood method should be used. This approach extends the results of a previous paper (see J. Piper, IEEE Trans. Signal Processing, vol.42, no.2, p.412, 1994) that showed how the maximum likelihood function calculation can be transformed from a matrix problem to a vector product. The maximum likelihood function for spectral estimation is given.<>
  • Keywords
    maximum likelihood estimation; spectral analysis; high resolution estimates; matrix problem; multiple source environment; spectral estimation; two source maximum likelihood function; vector product; Cities and towns; Covariance matrix; Design methodology; Equations; Frequency; Maximum likelihood estimation; Yield estimation;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/97.338753
  • Filename
    338753