A gradient-projective basis of compactly supported wavelets in dimension n > 1 | Academic Article individual record
abstract

A given set W = {WX} of n-variable class C1 functions is a gradient-projective basis if for every tempered distribution f whose gradient is square-integrable, the sum converges to f with respect to the norm ∥∇(·)∥L2 ℝn. The set is not necessarily an orthonormal set; the orthonormal expansion formula is just an element of the convex set of valid expansions of the given function f over W. We construct a gradient-projective basis W = {Wx} of compactly supported class C2-e{open} functions on ℝn such that where χ has the structure χ = χ̃, ν), ν ∈ ℤ. W is a wavelet set in the sense that the functions indexed by χ̃ are generated by an averaging of lattice translations with wave propagations, and there are two additional discrete parameters associated with the latter. These functions indexed by χ̃ are the unit-scale wavelets. The support volumes of our unit-scale wavelets are not uniformly bounded, however. While the practical value of this construction is doubtful, our motivation is theoretical. The point is that a gradient-orthonormal basis of compactly supported wavelets has never been constructed in dimension n > 1. (In one dimension the construction of such a basis is easy - just anti-differentiate the Haar functions.) © 2013 Versita Warsaw and Springer-Verlag Wien.

authors
author list (cited authors)
Battle, G.
publication date
2013
publisher