Skip to main content

On a Direct Approach for the Solution of Linear Space-Invariant 2-D Differential Convolution Models

  • Conference paper
  • 312 Accesses

Abstract

2-D differential convolution operators in a rectangular discrete domain are modelled as linear differential matrix equations of the form Х(t) = Σ AjX(t)Bi + F(t), where the coefficient matrices Ai ∈ IR(MxM),Bi ∈ IR(NxN) and F(t) ∈ IR(MxN) is a piecewise continuous function matrix of t. Under some periodicity assumptions an analytical solution method is presented making use of the 2-D discrete Fourier transform (DFT). For most general problems an iterative computational method founded in the Peano-Baker series is proposed.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Andrews, H.C. and B.R. Hunt (1977) Digital Image Restoration, Prentice Hall, Englewood Cliffs, New Jersey.

    Google Scholar 

  • Berger, R.L. and N. Davids (1965) General computer method analysis of condition and diffusion in biological systems with distributive sources, Rev. Sci. Instr. 36, 88–93.

    Article  Google Scholar 

  • Brockett, R.W. (1970) Finite Dimensional Linear Systems, John Wiley ans Sons, New York.

    MATH  Google Scholar 

  • Cooley J.W. and J.W. Tuckey (1972) An algorithm for the machine computation of complex Fourier series, IEEE Press, Compiled in Digital Signal Processing, 223–228.

    Google Scholar 

  • Dunford, N, and J.T. Schwartz (1966) Linear Operators, Part 1 Interscience, New York.

    MATH  Google Scholar 

  • Fromm, J.E. (1969) Lectures on large scale finite difference computation of incomprensible fluid flows, Rpt. RJ 617, IBM Research, San Jose, Calif.

    Google Scholar 

  • Gonzalez, R.G. and P. Wints (1977) Digital Image Processing, Addison Wesley, Advanced Book Program, New York.

    Google Scholar 

  • Goodman, Y.W. (1968) Introduction to Furier Optics, Mac GrawHill, New York.

    Google Scholar 

  • Greenspan, D. (1974) Discrete Numerical Methods in Physics and Engineering, Academic Press, New York.

    MATH  Google Scholar 

  • Hunt, B.R. (1973) The application of constrained least-squares estimation to image restoration by digital computer, IEEE Trans. Comput. vol. C-22, 9: 805–812.

    Article  Google Scholar 

  • Incertis, F.C. (1981) On a novel matrix approach for linear space invariant 2-D deconvolutions, (in press) IEEE Trans. Automat. Contr. vol. AC-27, 4.

    Google Scholar 

  • Lancaster, P. (1970) Explicit solutions of linear matrix equations, SIAM J. Appl. Math., 12, 4: 554–556.

    Google Scholar 

  • Neudecker, H. (1969) A note on Kronecker matrix product and matrix equation systems, SIAM J. Appl. Math. 17: 603–606.

    Google Scholar 

  • Rabiner, L.R. and C.M. Rader (1972) Digital Signal Processing, IEEE Press, New York.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1982 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Incertis, F.C. (1982). On a Direct Approach for the Solution of Linear Space-Invariant 2-D Differential Convolution Models. In: Holz, K.P., Meissner, U., Zielke, W., Brebbia, C.A., Pinder, G., Gray, W. (eds) Finite Elements in Water Resources. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-02348-8_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-662-02348-8_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-02350-1

  • Online ISBN: 978-3-662-02348-8

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics