• DocumentCode
    894766
  • Title

    An experimental comparison between maximum entropy and minimum relative-entropy spectral analysis

  • Author

    Zhuang, Xinhua ; Chen, Ling ; Chen, Su-Shing

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Missouri Univ., Columbia, MO, USA
  • Volume
    41
  • Issue
    4
  • fYear
    1993
  • fDate
    4/1/1993 12:00:00 AM
  • Firstpage
    1730
  • Lastpage
    1734
  • Abstract
    It is known that the minimum relative-entropy spectral analysis (MRESA) of J.E. Shore and R.W. Johnson (1980) and J.E. Shore (1981) provides an even better power spectrum estimation than the maximum entropy spectral analysis (MESA) by its explicit inclusion of a prior estimate that catches certain important shape features of the unknown true power spectrum. Since the kinds of prior estimates that catch certain important shape features of the unknown true power spectrum are generally hard to determine, a comparison between MESA and MRESA is undertaken in order to justify MRESA. The results indicate that unless the shape information of the true spectrum is correctly caught by the prior spectrum, it is safer to use MESA
  • Keywords
    information theory; spectral analysis; MESA; MRESA; maximum entropy spectral analysis; minimum relative-entropy spectral analysis; power spectrum estimation; Analytical models; Autocorrelation; Computer science; Entropy; Noise shaping; Shape; Spectral analysis;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.212758
  • Filename
    212758