• DocumentCode
    2500929
  • Title

    Wavelets and local polynomial approximation

  • Author

    Katkovnik, Vladimir

  • Author_Institution
    Dept. of Stat., South Africa Univ., Pretoria
  • fYear
    1996
  • fDate
    18-21 Jun 1996
  • Firstpage
    237
  • Lastpage
    240
  • Abstract
    The principal equivalence of two nonparametric techniques the wavelet transform and the local polynomial approximation (LPA) estimates is an objective of this paper. In particular, it is shown that the LPA enables one to interpret the wavelet spectrum as a derivative of the LPA estimate with respect to the scale parameter. The equivalent continuous wavelet transform always exists for any continuous LPA. The differentiating wavelets are derived from the LPA. The asymptotic accuracy results are presented for the estimates
  • Keywords
    approximation theory; estimation theory; nonparametric statistics; polynomials; spectral analysis; wavelet transforms; LPA; asymptotic accuracy; continuous wavelet transform; differentiating wavelets; local polynomial approximation; nonparametric techniques; scale parameter; wavelet spectrum; wavelet transform; Africa; Continuous wavelet transforms; Convolution; Fourier transforms; Kernel; Polynomials; Regression analysis; Statistics; Wavelet analysis; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Time-Frequency and Time-Scale Analysis, 1996., Proceedings of the IEEE-SP International Symposium on
  • Conference_Location
    Paris
  • Print_ISBN
    0-7803-3512-0
  • Type

    conf

  • DOI
    10.1109/TFSA.1996.547457
  • Filename
    547457