2009
DOI: 10.1016/j.jat.2009.02.007
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On the sampling and recovery of bandlimited functions via scattered translates of the Gaussian

Abstract: Let λ be a positive number, and let (x j : j ∈ Z) ⊂ R be a fixed Riesz-basis sequence, namely, (x j ) is strictly increasing, and the set of functions {R t → e ix j t

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Cited by 24 publications
(11 citation statements)
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“…Later, Schlumprecht and Sivakumar (see [2]), were able to prove a similar result by using parametrized scattered translates of the Gaussian rather than tempered splines. A natural question to ask is that of whether one may use other families of interpolants to produce similar recovery results.…”
Section: Introductionmentioning
confidence: 80%
See 1 more Smart Citation
“…Later, Schlumprecht and Sivakumar (see [2]), were able to prove a similar result by using parametrized scattered translates of the Gaussian rather than tempered splines. A natural question to ask is that of whether one may use other families of interpolants to produce similar recovery results.…”
Section: Introductionmentioning
confidence: 80%
“…We may now take a similar path as the one laid out in [1], as well as [2]. We introduce the notation:…”
Section: Recovery Resultsmentioning
confidence: 99%
“…Remark 4.2. In [6,17] it is shown that invertible matrices that decay exponentially away from the diagonal have inverses with the same property. However, it is not clear that their results are applicable to this situation.…”
Section: The ℓ ∞ −Boundedness Of the Inverse Of The Gramianmentioning
confidence: 99%
“…Unfortunately, we do not obtain results as strong as the ones found in [6,8,5], which allow us to recover f ∈ PW [−π,π] in L 2 and uniformly; however, if F[ f ] is concentrated enough near the origin, a recovery result similar to [2] is possible. With this in mind, for 0 < β < δ, we let B β = {ξ ∈ R 2 : |ξ | ≤ β} be the ball of radius β in R 2 .…”
Section: Recovery Resultsmentioning
confidence: 57%
“…The last inequality comes from summing the geometric series and applying (8). This is the desired result once we take square roots.…”
Section: Proof the Interpolation Conditionmentioning
confidence: 89%