• DocumentCode
    2666143
  • Title

    Predictive transform estimation vs. hybrid estimation

  • Author

    Guerci, Joseph R. ; Feria, Erlan H.

  • Author_Institution
    Grumman Aerospace Corp., Bethpage, NY, USA
  • fYear
    1990
  • fDate
    21-25 May 1990
  • Firstpage
    102
  • Abstract
    A comparative analysis of the implementation reduction mechanisms present in a predictive transform (PT) estimation scheme and in a conventional time-frequency or hybrid estimation approach inspired by hybrid coding is performed. This comparative study focuses on the estimation dual of the hybrid versus predictive transform coding problem, and thus serves to further illustrate the ability of the PT approach to unify seemingly disjoint areas of signal processing. A Kalman-type estimation example, based on a previously considered NTSC image reconstruction problem, is used to illustrate the above ideas. The PT approach is shown to provide a more natural data compression mechanism than the hybrid approach for reducing implementation complexity, while yielding satisfactory performance
  • Keywords
    Kalman filters; data compression; encoding; estimation theory; filtering and prediction theory; picture processing; signal processing; Kalman estimation; NTSC image reconstruction; comparative analysis; data compression; hybrid estimation; predictive transform estimation; signal processing; time frequency estimation; Data compression; Decoding; Image reconstruction; Kalman filters; Performance analysis; Predictive models; Signal processing; Time frequency analysis; Transform coding; Yield estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Aerospace and Electronics Conference, 1990. NAECON 1990., Proceedings of the IEEE 1990 National
  • Conference_Location
    Dayton, OH
  • Type

    conf

  • DOI
    10.1109/NAECON.1990.112749
  • Filename
    112749