Advertisement

A Panorama of Sampling Theory

  • Kabe MoenEmail author
  • Hrvoje Šikić
  • Guido Weiss
  • Edward Wilson
Chapter
Part of the Applied and Numerical Harmonic Analysis book series (ANHA)

Abstract

By a sampling function we mean a member \(\varphi \) of a vector space V of, preferably, continuous, \(\mathbf{C}\)-valued functions on a topological space X for which there is an orbit \(G \cdot {x}_{0}\) of a countable abelian group G acting continuously on X, and each fV is the sum of the terms \(f(k \cdot {x}_{0})\varphi (k \cdot x)\), \(k \in G\). Such a recovery formula generalizes the well-known Shannon sampling formula. This chapter presents a general discussion of sampling theory and introduces several new classes of sampling functions \(\varphi : \mathbf{R} \rightarrow \mathbf{C}\) for sampling sets of the form \(\mathbf{Z} + {x}_{0}\). In Sect.2 we discuss the very close connection between general convolution idempotents and sampling functions. In Sect.3 we review the properties of the Zak transform and use it to construct a large family of continuous sampling functions \(\varphi \in {L}^{2}(\mathbf{R})\) where \(\{{T}_{k}\varphi : k \in \mathbf{Z}\}\) is a frame for the principal shift-invariant space \({V }_{\varphi } =\langle \varphi \rangle\) generated by \(\varphi \). This family includes all band-limited sampling functions as well as all continuous sampling functions \(\varphi \in {V }_{\psi }\), \(\psi \in {C}_{c}(\mathbf{R})\). In Sect.4 we look at a class of continuous functions \(\psi \) which do not generate (via the Z-transform) any square-integrable sampling functions and use the Laurent transform (or Z-transform) to show how \(\psi \) generates a possibly infinite family of non-square-integrable sampling functions. In Sect.5 we sketch the manner in which purely algebraic tools lead to construction of a very large class of convolution idempotents and associated sampling functions that cannot be obtained by Zak or Laurent transform methods.

Keywords

Sampling functions Sampling spaces Exotic sampling Convolution idempotent Zak transform Laurent transform 

References

  1. 1.
    Chen, W., Itoh, S.: A sampling theorem for shift-invariant subspace. IEEE Trans. Signal Process. 52(10), 4643–4648 (2006)Google Scholar
  2. 2.
    Gröchenig, K., Janssen, A.J.E.M., Kaiblinger, N., Pfander, G.: Note on B-splines, wavelet scaling functions, and Gabor frames. IEEE Trans. Inf. Theor. 49, 3318–332 (2003)Google Scholar
  3. 3.
    Hernández, E., Šikić, H., Weiss, G., Wilson, E.: Cyclic subspaces for unitary representations of LCA groups; generalized Zak transforms. Colloq. Math. 118(1), 313–332 (2010)Google Scholar
  4. 4.
    Hernández, E., Šikić, H., Weiss, G., Wilson, E.: On the properties of the integer translates of a square integrable function. Harmonic Analysis and Partial Differential Equations, 233–249, Contemporary Mathematics, vol. 505, American Mathematical Society, Providence, RI (2010)Google Scholar
  5. 5.
    Hernández, E., Šikić, H., Weiss, G., Wilson, E.: The Zak transform(s) Fourier analysis and convexity, 151–157. Appl. Numer. Harmon. Anal. BirkhŁuser Boston, Boston (2011)Google Scholar
  6. 6.
    Janssen, A.J.E.M.: The Zak transform: a signal transform for sampled time-continuous signals. Philips J. Res. 43, 23–49 (1988)Google Scholar
  7. 7.
    Janssen, A.J.E.M.: The Zak transform and sampling theorems for wavelet subspaces. IEEE Trans. Signal Process. 41, 3360–3364 (1993)Google Scholar
  8. 8.
    Šikić, H., Wilson, E.: Lattice invariant subspaces and sampling. Appl. Comput. Harmon. Anal. 31(1), 26–43 (2011)Google Scholar

Copyright information

© Birkhäuser Boston 2013

Authors and Affiliations

  • Kabe Moen
    • 1
    Email author
  • Hrvoje Šikić
    • 2
  • Guido Weiss
    • 3
  • Edward Wilson
    • 3
  1. 1.University of AlabamaTuscaloosaUSA
  2. 2.Univervisty of ZagrebZagrebCroatia
  3. 3.Washington University in St. LouisSt. LouisUSA

Personalised recommendations