Title:Smooth well-localized Parseval wavelets based on simple wavelet sets in Rn
Abstract: Wavelet set wavelets for scalar dilations in L2(Rn) have had limited applicability for two reasons.
The first is that wavelet set wavelets cannot be well-localized. Secondly, the single wavelet
sets in dimensions 2 and greater that previously appeared in the literature were complicated
unions of infinite collections of convex sets. In this talk, we use generalized filters to smooth new
single n-dimensional wavelet sets that are finite unions of convex sets. This process produces single
Parseval wavelets for scalar dilations in Rn that are Cr and have Cr Fourier transform, and which have
the same multiplicity function as these new simple wavelet sets.
|