Skip to main content

Abstract

In this chapter the notion of mixed circular convolution is introduced. The polynomial and discrete periodic splines defined on uniform grids are special cases of such convolutions. The so-called Zak transforms provide tools to handle mixed circular convolutions

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 89.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 119.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. A. Aldroubi, M. Eden, M. Unser, Discrete spline filters for multiresolutions and wavelets of \(l_2\). SIAM J. Math. Anal. 25(5), 1412–1432 (1994)

    Article  MATH  MathSciNet  Google Scholar 

  2. M.J. Bastiaans, in Gabor’s Expansion and the Zak Transform for Continuous-Time and Discrete-Time Signals, ed. by Y.Y. Zeevi, R. Coifman. Signal and Image Representation in Combined Spaces, vol 7 (Academic Press, San Diego, 1998), pp. 23–69 (Wavelet Anal. Appl.)

    Google Scholar 

  3. K. Ichige, M. Kamada, An approximation for discrete B-splines in time domain. IEEE Signal Process. Lett. 4(3), 82–84 (1997)

    Article  Google Scholar 

  4. V.N. Malozemov, A.B. Pevnyi, Discrete periodic splines and their numerical applications. Comput. Math. Math. Phys. 38(8), 1181–1192 (1998)

    MATH  MathSciNet  Google Scholar 

  5. A.B. Pevnyi, V. Zheludev, On the interpolation by discrete splines with equidistant nodes. J. Approx. Theor. 102(2), 286–301 (2000)

    Article  MATH  MathSciNet  Google Scholar 

  6. M. Pinsky, in Introduction to Fourier Analysis and Wavelets (Brooks Cole, Salt Lake City, 2002)

    Google Scholar 

  7. A. Ron, in Introduction to Shift-Invariant Spaces: Linear Independence, ed. by A. Pinkus, D. Leviatan, N. Din, D. Levin. Multivariate Approximation and Applications (Cambridge University Press, Cambridge, 2001), pp. 112–151

    Google Scholar 

  8. I.J. Schoenberg, Cardinal interpolation and spline functions. J. Approximation Theor. 2, 167–206 (1969)

    Google Scholar 

  9. L.L. Schumaker, Spline Functions: Basic Theory (Wiley, New York, 1981)

    MATH  Google Scholar 

  10. E. Stein, G. Weiss, in Introduction to Fourier Analysis on Euclidean Spaces (Princeton University Press, Princeton, 1971)

    Google Scholar 

  11. M. Unser, A. Aldroubi, M. Eden, Fast B-spline transforms for continuous image representation and interpolation. IEEE Trans. Pattern Anal. Mach. Intell. 13(3), 277–285 (1991)

    Article  Google Scholar 

  12. M. Unser, A. Aldroubi, M. Eden, On the asymptotic convergence of B-spline wavelets to Gabor functions. IEEE Trans. Inform. Theor 38(2), 864–872 (1992)

    Article  MATH  MathSciNet  Google Scholar 

  13. M. Unser, A. Aldroubi, M. Eden, B-Spline Signal processing. I. Theory. IEEE Trans. Signal Process., 41(2), 821–833 (1993) (IEEE Signal Processing Society’s 1995 best paper award)

    Google Scholar 

  14. K.F. Üstüner, L.A. Ferrari, Discrete splines and spline filters. IEEE Trans. Circ. Syst. II: Analog Digit. Sig. Process. 39(7), 417–422 (1992)

    Article  MATH  Google Scholar 

  15. J. Zak, Finite translations in solid-state physics. Phys. Rev. Lett. 19(24), 1385–1387 (1967)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Amir Z. Averbuch .

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer Science+Business Media Dordrecht

About this chapter

Cite this chapter

Averbuch, A.Z., Neittaanmaki, P., Zheludev, V.A. (2014). Mixed Circular Convolutions and Zak Transforms. In: Spline and Spline Wavelet Methods with Applications to Signal and Image Processing. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-8926-4_3

Download citation

  • DOI: https://doi.org/10.1007/978-94-017-8926-4_3

  • Published:

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-017-8925-7

  • Online ISBN: 978-94-017-8926-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics