Abstract
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The classical Kramer sampling theorem, which provides a method for obtaining orthogonal sampling formulas, can be formulated in a more general nonorthogonal setting. In this setting, a challenging problem is to characterize the situations when the obtained nonorthogonal sampling formulas can be expressed as Lagrange-type interpolation series. In this article a necessary and sufficient condition is given in terms of the zero removing property. Roughly speaking, this property concerns the stability of the sampled functions on removing a finite number of their zeros. | |
International
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Si |
JCR
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Si |
Title
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Numerical Functional Analysis And Optimization |
ISBN
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0163-0563 |
Impact factor JCR
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0,687 |
Impact info
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Volume
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32(8) |
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10.1080/01630563.2011.587076 |
Journal number
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|
From page
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858 |
To page
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876 |
Month
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SIN MES |
Ranking
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