• DocumentCode
    696779
  • Title

    The endomorphic model: An approach to adaptive prediction

  • Author

    Korale, Asoka ; Constantinides, Anthony G.

  • Author_Institution
    Dept. of Electrical and Electronic Engineering, Imperial College, London, SW7 2BT, U.K.
  • fYear
    2000
  • fDate
    4-8 Sept. 2000
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper describes a method by which a set of piece-wise constant autoregressive parameters could be obtained when the source signal is subject to a multistage analysis. It also illustrates an FIR prediction scheme with application to a speech process. It describes a method where the prediction is carried out on a sample by sample basis. This prediction scheme demonstrates the possibility of having control over the prediction error by constraining it to be within a predetermined limit.
  • Keywords
    Adaptation models; Equations; Mathematical model; Predictive models; Speech; Speech processing; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference, 2000 10th European
  • Conference_Location
    Tampere, Finland
  • Print_ISBN
    978-952-1504-43-3
  • Type

    conf

  • Filename
    7075400