Multivariate exact and falsified sampling approximation

preprint2014arXivOpen access

Abstract

Approximation properties of the expansions ∑k∈zdckϕ(Mjx+k)\sum_{k\in{\mathbb z}^d}c_kϕ(M^jx+k), where MM is a matrix dilation, ckc_k is either the sampled value of a signal ff at M−jkM^{-j}k or the integral average of ff near M−jkM^{-j}k (falsified sampled value), are studied. Error estimations in LpL_p-norm, 2≤p≤∞2\le p\le\infty, are given in terms of the Fourier transform of ff. The approximation order depends on how smooth is ff, on the order of Strang-Fix condition for ϕϕ and on MM. Some special properties of ϕϕ are required. To estimate the approximation order of falsified sampling expansions we compare them with a differential expansions ∑k∈ zdLf(M−j⋅)(−k)ϕ(Mjx+k)\sum_{k\in\,{\mathbb z}^d} Lf(M^{-j}\cdot)(-k)ϕ(M^jx+k), where LL is an appropriate differential operator. Some concrete functions ϕϕ applicable for implementations are constructed. In particular, compactly supported splines and band-limited functions can be taken as ϕϕ. Some of these functions provide expansions interpolating a signal at the points M−jkM^{-j}k.

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