• DocumentCode
    3271202
  • Title

    Use of generalized Taylor series expansion

  • Author

    Tehrani, Rouzbeh ; Ludeman, Lonnie C.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., New Mexico State Univ., Las Cruces, NM, USA
  • Volume
    2
  • fYear
    1992
  • fDate
    10-13 May 1992
  • Firstpage
    979
  • Abstract
    Presents a class of orthonormal basis functions which is based on a generalization of the Taylor series expansion. Several examples are given showing the capabilities of this class of expansion for applications in exponential approximation. The generalized Taylor series expansion (known as the Bürmann series) is also shown to be useful in representing dilated and translated versions of a signal with little error using a single function. The Bürmann expansion is also shown to be useful in providing an alternative approach to the wavelet and Gabor transform. It is more efficient than the ordinary power series in small term approximations to exponential signals
  • Keywords
    series (mathematics); signal detection; Bu¨rmann series; exponential approximation; exponential signals; generalized Taylor series expansion; orthonormal basis functions; small term approximations; Animals; Application software; Equations; Fourier transforms; Frequency; Humans; Machine vision; Open systems; Taylor series; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1992. ISCAS '92. Proceedings., 1992 IEEE International Symposium on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    0-7803-0593-0
  • Type

    conf

  • DOI
    10.1109/ISCAS.1992.230056
  • Filename
    230056