Microlocal filtering with multiwavelets

Hyperfunctions in R-n are intuitively considered as sums of boundary values of holomorphic functions defined in infinitesimal wedges' in C-n. Orthonor mal multiwavelets, which are a generalization of orthonormal single wavelet s, generate a multiresolution analysis by means of several scaling function s. Microlocal analysis is briefly reviewed and a multiwavelet system adapte d to microlocal filtering is proposed. A rough estimate of the microlocal c ontent of functions or signals is obtained from their multiwavelet expansio ns. A fast algorithm for multiwavelet microlocal filtering is presented and several numerical examples are considered. (C) 2001 Elsevier Science Ltd. All rights reserved.