Skip to main content
SpringerLink
Log in

An Algorithm for Fast Imaging of Wavelet Transforms

  • Conference paper
Wavelets

Part of the book series: Inverse Problems and Theoretical Imaging ((IPTI))

Abstract

We consider the use of wavelet transforms as a tool to analyze the structure of complex signals through a two dimensional representation of the transform rather than through its capabilities of coding, decomposition and reconstruction. Indeed, the remarkable properties of this transform can be used with great profit to obtain a very natural and visual access to some of the structural properties of a signal, which can be typically viewed as a time series[l].

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

Access this chapter

Log in via an institution
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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. A. Grossmann and J. Morlet, “Mathematics and Physics, Lectures on recent results “, edited by L. Streit (World Scientific, Singapore, 1987).

    Google Scholar 

  2. I. Daubechies, “Orthogonal bases of compactly supported wavelets”, (preprint ATT Bell Labs 1987).

    Google Scholar 

  3. S. Mallat, “Multiresolution approximation and wavelets”, (preprint GRASP Lab, University of Pennsylvania, 1987.

    Google Scholar 

  4. W.K. Pratt, Digital Image Processing, (Wiley, N.Y. 1978).

    Google Scholar 

  5. R. Kronland-Martinet, J. Morlet and A. Grossmann, in Int. J. Pattern Recognition and Artificial Intelligence, (special issue on “Expert systems and Pattern Analysis” 1987).

    Google Scholar 

  6. A. Grossmann, M. Holschneider, R. Kronland-Martinet and J. Morlet, in “Advances in electronics en electron physics”, P.C. Sabatier ed., supplement 19, “Inverse Problem”, (Academic Press, 1987).

    Google Scholar 

  7. A. Arneodo, G Grasseau and M. Holschneider, “Wavelet transform of invariant measures of some dynamical systems”, (preprint CRPP, CNRS Bordeaux 1987).

    Google Scholar 

  8. A. Arneodo, G Grasseau and M. Holschneider, “On the wavelet transform of multifractals” (preprint CRPP, CNRS Bordeaux 1988).

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Centre de Recherche Paul Pascal, CNRS, Domaine Universitaire, F-33405, Talence Cedex, France

    P. Hanusse

Authors
  1. P. Hanusse
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Centre National de la Recherche Scientifique, Luminy - Case 907, F-13288, Marseille Cedex 9, France

    Jean-Michel Combes , Alexander Grossmann  & Philippe Tchamitchian ,  & 

Rights and permissions

Reprints and permissions

Copyright information

© 1989 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Hanusse, P. (1989). An Algorithm for Fast Imaging of Wavelet Transforms. In: Combes, JM., Grossmann, A., Tchamitchian, P. (eds) Wavelets. Inverse Problems and Theoretical Imaging. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-97177-8_30

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-97177-8_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-97179-2

  • Online ISBN: 978-3-642-97177-8

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation