• DocumentCode
    968068
  • Title

    Fast Directional Continuous Spherical Wavelet Transform Algorithms

  • Author

    McEwen, Jason D. ; Hobson, Michael P. ; Mortlock, Daniel J. ; Lasenby, Anthony N.

  • Author_Institution
    Cavendish Lab., Cambridge Univ.
  • Volume
    55
  • Issue
    2
  • fYear
    2007
  • Firstpage
    520
  • Lastpage
    529
  • Abstract
    We describe the construction of a spherical wavelet analysis through the inverse stereographic projection of the Euclidean planar wavelet framework, introduced originally by Antoine and Vandergheynst and developed further by Wiaux Fast algorithms for performing the directional continuous wavelet analysis on the unit sphere are presented. The fast directional algorithm, based on the fast spherical convolution algorithm developed by Wandelt and Goacuterski, provides a savings of O(radicNpix) over a direct quadrature implementation for Npix pixels on the sphere, and allows one to perform a directional spherical wavelet analysis of a 106 pixel map on a personal computer
  • Keywords
    convolution; signal processing; wavelet transforms; Euclidean planar wavelet framework; directional continuous spherical algorithms; inverse stereographic projection; spherical convolution algorithm; wavelet transform algorithms; Algorithm design and analysis; Astronomy; Astrophysics; Continuous wavelet transforms; Discrete wavelet transforms; Extraterrestrial measurements; Geophysical measurements; Performance analysis; Wavelet analysis; Wavelet transforms; Convolution; spheres; wavelet transforms;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2006.887148
  • Filename
    4063561