Reconstruction of L-splines of polynomial growth from their local weighted average samples

Devaraj Ponnaian and Yugesh Shanmugam

Applied Mathematics and Computation, 2016, vol. 273, issue C, 1018-1024

Abstract: In this paper, we study the reconstruction of cardinal L-spline functions from their weighted local average samples yn=(f☆h)(n),n∈Z, where the weight function h(t) has support in [−12,12]. It is shown that there are infinitely many L-spline functions which are solutions to the problem: For the given data yn and given d∈N, find a cardinal L-spline f(t)∈Cd−1(R) satisfying yn=(f☆h)(n),n∈Z. Further, it is shown that for d=1,2 and for every nonnegative h supported in [−12,12], there is a unique solution to this problem if both the samples and the L-splines are of polynomial growth. Moreover, for d > 2, it is shown that for every sample of polynomial growth, the above problem has a unique solution of polynomial growth when the weight function h supported in [−12,12] is positive definite.

Keywords: L-splines; L-spline interpolation; Generalized Euler–Frobenius polynomial; Average sampling (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:273:y:2016:i:c:p:1018-1024

DOI: 10.1016/j.amc.2015.10.043

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