• DocumentCode
    908060
  • Title

    Advantages of a Givens rotation approach to temporally recursive linear prediction analysis of speech

  • Author

    Deller, J.R., Jr. ; Picache, G.P.

  • Author_Institution
    Dept. of Electr. Eng. & Syst. Sci., Michigan State Univ., East Lansing, MI, USA
  • Volume
    37
  • Issue
    3
  • fYear
    1989
  • fDate
    3/1/1989 12:00:00 AM
  • Firstpage
    429
  • Lastpage
    431
  • Abstract
    Some useful features of a temporally recursive Givens rotation method in linear prediction analysis of speech and other signals are considered. Among them are convenient computation of the Itakura distance, windowed and exponentially adaptive estimation, lower rank estimation based on singular value decomposition, and set-membership identification
  • Keywords
    filtering and prediction theory; speech analysis and processing; Givens rotation; adaptive estimation; lower rank estimation; set-membership identification; singular value decomposition; temporally recursive linear prediction analysis of speech; Adaptive estimation; Computer architecture; Covariance matrix; Equations; Least squares methods; Signal analysis; Signal processing algorithms; Singular value decomposition; Speech analysis; Speech processing;
  • fLanguage
    English
  • Journal_Title
    Acoustics, Speech and Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0096-3518
  • Type

    jour

  • DOI
    10.1109/29.21710
  • Filename
    21710
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=908060