Skip to main content
Log in

System Representations for the Paley–Wiener Space \(\mathcal {PW}_{\pi }^2\)

  • Published:
Journal of Fourier Analysis and Applications Aims and scope Submit manuscript

Abstract

In this paper we study the approximation of stable linear time-invariant systems for the Paley–Wiener space \(\mathcal {PW}_{\pi }^2\), i.e., the set of bandlimited functions with finite \(L^2\)-norm, by convolution sums. It is possible to use either, the convolution sum where the time variable is in the argument of the bandlimited impulse response, or the convolution sum where the time variable is in the argument of the function, as an approximation process. In addition to the pointwise and uniform convergence behavior, the convergence behavior in the norm of the considered function space, i.e. the \(L^2\)-norm in our case, is important. While it is well-known that both convolution sums converge uniformly on the whole real axis, the \(L^2\)-norm of the second convolution sum can be divergent for certain functions and systems. We show that the there exist an infinite dimensional closed subspace of functions and an infinite dimensional closed subspace of systems, such that for any pair of function and system from these two sets, we have norm divergence.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Aron, R.M., Bernal-González, L., Pellegrino, D.M., Seoane-Sepúlveda, J.B.: Lineability: The Search for Linearity in Mathematics. Monographs and Research Notes in Mathematics, vol. 14. CRC Press, Boca Raton (2015)

    Book  MATH  Google Scholar 

  2. Bernal-González, L., Pellegrino, D., Seoane-Sepúlveda, J.B.: Linear subsets of nonlinear sets in topological vector spaces. Bull. Am. Math. Soc. 51(1), 71–130 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  3. Boche, H., Farrell, B.: Strong divergence of reconstruction procedures for the Paley-Wiener space \({PW}_\pi ^1\) and the Hardy space \({H}^1\). J. Approx. Theory 183, 98–117 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  4. Boche, H., Mönich, U.J.: Banach–Steinhaus theory revisited: lineability and spaceability. J. Approx. Theory 213, 50–69 (2016)

    Article  MathSciNet  MATH  Google Scholar 

  5. Boche, H., Mönich, U.J.: Signal and system spaces with non-convergent sampling representation. In: Proceedings of European Signal Processing Conference (EUSIPCO), pp. 2131–2135 (2016)

  6. Boche, H., Mönich, U.J., Tampubolon, E.: Strong divergence of the Shannon sampling series for an infinite dimensional signal space. In: Proceedings of the 2016 IEEE International Symposium on Information Theory, pp. 2878–2882 (2016)

  7. Butzer, P.L., Splettstößer, W., Stens, R.L.: The sampling theorem and linear prediction in signal analysis. Jahresber. Dtsch. Math. Ver. 90(1), 1–70 (1988)

    MathSciNet  MATH  Google Scholar 

  8. Butzer, P.L., Schmeisser, G., Stens, R.L.: Shannon’s sampling theorem for bandlimited signals and their Hilbert transform, Boas-type formulae for higher order derivative–the aliasing error involved by their extensions from bandlimited to non-bandlimited signals. Entropy 14(11), 2192–2226 (2012)

    Article  MathSciNet  MATH  Google Scholar 

  9. Diestel, J.: Sequences and Series in Banach Spaces, vol. 92. Springer, Berlin (2012)

    Google Scholar 

  10. Fonf, V.P., Gurariy, V.I., Kadets, M.I.: An infinite dimensional subspace of \(C[0,1]\) consisting of nowhere differentiable functions. C. R. Acad. Bulg. Sci. 52(11–12), 13–16 (1999)

    MathSciNet  MATH  Google Scholar 

  11. Gurariy, V.I.: Subspaces and bases in spaces of continuous functions. Dokl. Akad. Nauk SSSR 167, 971–973 (1966)

    MathSciNet  Google Scholar 

  12. Habib, M.K.: Digital representations of operators on band-limited random signals. IEEE Trans. Inf. Theory 47(1), 173–177 (2001)

    Article  MathSciNet  MATH  Google Scholar 

  13. Higgins, J.R.: Five short stories about the cardinal series. Bull. Am. Math. Soc. 12(1), 45–89 (1985)

    Article  MathSciNet  MATH  Google Scholar 

  14. Higgins, J.R.: Sampling Theory in Fourier and Signal Analysis: Foundations. Oxford University Press, Oxford (1996)

    MATH  Google Scholar 

  15. Jerri, A.J.: The Shannon sampling theorem-its various extensions and applications: a tutorial review. Proc. IEEE 65(11), 1565–1596 (1977)

    Article  MATH  Google Scholar 

  16. Kramer, H.P.: The digital form of operators on band-limited functions. J. Math. Anal. Appl. 44(2), 275–287 (1973)

    Article  MathSciNet  MATH  Google Scholar 

  17. Marvasti, E. (ed.): Nonuniform Sampling: Theory and Practice. Kluwer Academic, Dordrecht (2001)

    MATH  Google Scholar 

  18. Oppenheim, A.V., Schafer, R.W.: Discrete-Time Signal Processing, 3rd edn. Prentice Hall, Upper Saddle River (2009)

    MATH  Google Scholar 

  19. Papoulis, A.: Generalized sampling expansion. IEEE Trans. Circ. Syst. 24(11), 652–654 (1977)

    Article  MathSciNet  MATH  Google Scholar 

  20. Shannon, C.E.: Communication in the presence of noise. Proc. IRE 37(1), 10–21 (1949)

    Article  MathSciNet  Google Scholar 

  21. Stens, R.L.: A unified approach to sampling theorems for derivatives and Hilbert transforms. Signal Process. 5, 139–151 (1983)

    Article  MathSciNet  Google Scholar 

  22. Zygmund, A.: Trigonometric Series, vol. I, 3rd edn. Cambridge University Press, Cambridge (2002)

    MATH  Google Scholar 

Download references

Acknowledgements

This work was supported by the Gottfried Wilhelm Leibniz Programme of the German Research Foundation (DFG) under Grant BO 1734/20-1, and U. Mönich was supported by the German Research Foundation (DFG) under Grant MO 2572/2-1. It was motivated by questions raised by Hans Feichtinger about sampling-type system approximation processes and the structure of signal sets creating divergence. Parts of this work were presented at the Workshop on Harmonic Analysis, Graphs and Learning at the Hausdorff Research Institute for Mathematics, Bonn, Germany. Holger Boche would like to thank Hans Feichtinger for fruitful discussions and the Hausdorff Research Institute for Mathematics for its support and hospitality.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ullrich J. Mönich.

Additional information

Communicated by Hans G. Feichtinger.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Boche, H., Mönich, U.J. System Representations for the Paley–Wiener Space \(\mathcal {PW}_{\pi }^2\) . J Fourier Anal Appl 24, 285–308 (2018). https://doi.org/10.1007/s00041-016-9517-3

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00041-016-9517-3

Keywords

Mathematics Subject Classification

Navigation