• DocumentCode
    2963613
  • Title

    Speech Compression Using the Matrix Pencil Technique

  • Author

    Haddad, D.M. ; Sarkar, T.K. ; Noga, A.J.

  • Author_Institution
    AFRL, IFEC, Rome
  • fYear
    2006
  • fDate
    24-27 Sept. 2006
  • Firstpage
    218
  • Lastpage
    221
  • Abstract
    Matrix pencils (MP) facilitate the study of differential equations resulting from oscillating systems. Certain problems in linear ordinary differential equations, such as speech processing, can be represented as the problem of finding a canonical pencil strictly equivalent to a given pencil. The MP is a direct data domain approach to estimate the signal´s poles. The MP depends on only the data and is not a stochastic estimator. This approach has many benefits over a statistical approach. One benefit is that a smaller amount of data could be used to estimate the poles. The second benefit is that it results in a lower variance associated with the estimates of the parameters, which comes close to the Cramer-Rao bound
  • Keywords
    data compression; differential equations; matrix algebra; parameter estimation; speech coding; Cramer-Rao bound; differential equation; direct data domain approach; matrix pencil technique; oscillating system; parameter estimation; pole estimation; speech compression; Compression algorithms; Damping; Differential equations; Frequency estimation; Laboratories; Phased arrays; Speech enhancement; Speech processing; Stochastic processes; Vocoders;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Signal Processing Workshop, 12th - Signal Processing Education Workshop, 4th
  • Conference_Location
    Teton National Park, WY
  • Print_ISBN
    1-4244-3534-3
  • Type

    conf

  • DOI
    10.1109/DSPWS.2006.265410
  • Filename
    4041062