A gradientprojective basis of compactly supported wavelets in dimension n > 1
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A given set W = {WX} of nvariable class C1 functions is a gradientprojective basis if for every tempered distribution f whose gradient is squareintegrable, 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 gradientprojective basis W = {Wx} of compactly supported class C2e{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 unitscale wavelets. The support volumes of our unitscale wavelets are not uniformly bounded, however. While the practical value of this construction is doubtful, our motivation is theoretical. The point is that a gradientorthonormal 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 antidifferentiate the Haar functions.) © 2013 Versita Warsaw and SpringerVerlag Wien.
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