On a Class of Generalized Sampling Functions

On a Class of Generalized Sampling Functions

Year:    2014

Analysis in Theory and Applications, Vol. 30 (2014), Iss. 1 : pp. 82–89

Abstract

In this note, we discuss a class of so-called generalized sampling functions. These functions are defined to be the inverse Fourier transform of a family of piecewise constant functions that are either square integrable or Lebegue integrable on the real number line. They are in fact the generalization of the classic sinc function. Two approaches of constructing the generalized sampling functions are reviewed. Their properties such as cardinality, orthogonality, and decaying properties are discussed. The interactions of those functions and Hilbert transformer are also discussed.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.4208/ata.2014.v30.n1.5

Analysis in Theory and Applications, Vol. 30 (2014), Iss. 1 : pp. 82–89

Published online:    2014-01

AMS Subject Headings:    Global Science Press

Copyright:    COPYRIGHT: © Global Science Press

Pages:    8

Keywords:    Generalized sampling function sinc function non-bandlimited signal sampling theorem Hilbert transform.