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.
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;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2006.887148