Skip to main content

Multidimensional Transformations

  • Chapter
  • First Online:
Multidimensional Signals and Systems

Abstract

This chapter presents examples of two- and three-dimensional transformations which are extensions of their 1D counterparts. At first, the two-dimensional Fourier transformation in Cartesian coordinates is introduced and its properties are derived by affine mappings. Then follows the Fourier transformation in polar coordinates, Hankel and Radon transformation, and finally Fourier transformation in spherical coordinates.

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

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 84.99
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. Rabenstein, R., Schäfer, M.: Multidimensional Signals and Systems: Applications. Springer Nature, Heidelberg, Berlin (to appear)

    Google Scholar 

  2. Ahrens, J.: Analytic Methods of Sound Field Synthesis. T-Labs series in Telecommunication Services. Springer, Berlin (2012)

    Google Scholar 

  3. Appel, W.: Mathematics for Physics and Physicists. Princeton University Press, Princeton and Oxford (2007)

    MATH  Google Scholar 

  4. Arfken, G.B., Weber, H.J., Harris, F.E.: Mathematical Methods for Physicists, 7 edn. Academic Press, Waltham, USA (2013)

    MATH  Google Scholar 

  5. Bracewell, R.N.: Fourier Analysis and Imaging. Kluwer Academic/Plenum Publishers, New York (2003)

    Book  MATH  Google Scholar 

  6. Bronshtein, I., Semendyayev, K., Musiol, G., Mühlig, H.: Handbook of Mathematics. Springer-Verlag, Berlin (2015)

    Book  MATH  Google Scholar 

  7. Colton, D., Kress, R.: Inverse Acoustic and Electromagnetic Scattering Theory, 4 edn. Springer Nature, Cham, Switzerland (2019)

    Google Scholar 

  8. Courant, R., Hilbert, D.: Methods of Mathematical Physics, Vol. 1, 1st english edn. Wiley, New York (1989, 1937). https://onlinelibrary.wiley.com/doi/book/10.1002/9783527617210

  9. Ginsberg, J.H.: Acoustics—A Textbook for Engineers and Physicists, Volume I: Fundamentals. Springer International Publishing AG, Cham, Switzerland (2018)

    Book  Google Scholar 

  10. Ginsberg, J.H.: Acoustics—A Textbook for Engineers and Physicists, Volume II: Applications. Springer International Publishing AG, Cham, Switzerland (2018)

    Book  Google Scholar 

  11. Girod, B., Rabenstein, R., Stenger, A.: Signals and Systems. Wiley, Chichester (2001)

    Google Scholar 

  12. Kennedy, R.A., Sadeghi, P.: Hilbert Space Methods in Signal Processing. Cambridge University Press, Cambridge, UK (2013)

    Book  MATH  Google Scholar 

  13. Maier, A., Steidl, S., Christlein, V., Hornegger, J. (eds.): Medical Imaging Systems. An Introductory Guide, Lecture notes in computer science, vol. 11111. Springer Open, Cham (2018). https://doi.org/10.1007/978-3-319-96520-8

  14. Morse, P.M., Feshbach, H.: Methods of Theoretical Physics. International series in pure and applied physics. McGraw-Hill ; Kogakusha Comp., New York, NY; Tokyo (1953)

    Google Scholar 

  15. Morse, P.M., Ingard, K.U.: Theoretical Acoustics. McGraw-Hill Book Company, New York (1968)

    Google Scholar 

  16. Papoulis, A.: Systems and Transforms with Applications in Optics. McGraw-Hill Book Company, New York (1968)

    Google Scholar 

  17. Pierce, A.D.: Acoustics, 3 edn. Springer Nature Switzerland AG, Cham, Switzerland (2019)

    Google Scholar 

  18. Rabenstein, R., Steffen, P., Spors, S.: Representation of two-dimensional wave fields by multidimensional signals. Signal Processing 86(6), 1341–1351 (2006)

    Article  MATH  Google Scholar 

  19. Rafaely, B.: Fundamentals of Spherical Array Processing, Spr. Topics Signal Process., vol. 16, 2 edn. Springer, Cham, Switzerland (2019)

    Google Scholar 

  20. Sneddon, I.N.: Fourier Transforms. Dover Publications, New York (1995)

    MATH  Google Scholar 

  21. Teutsch, H.: Modal Array Signal Processing: Principles and Applications of Acoustic Wavefield Decomposition. No. 348 in Lecture Notes in Control and Information Sciences. Springer, Berlin (2007)

    Google Scholar 

  22. Williams, E.G.: Fourier Acoustics. Academic Press, San Diego (1999)

    Google Scholar 

  23. Woods, J.: Multidimensional Signal, Image, and Video Processing and Coding, 2 edn. Elsevier, Amsterdam (2012)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2023 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Rabenstein, R., Schäfer, M. (2023). Multidimensional Transformations. In: Multidimensional Signals and Systems. Springer, Cham. https://doi.org/10.1007/978-3-031-26514-3_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-26514-3_6

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-26513-6

  • Online ISBN: 978-3-031-26514-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics