Subband and Wavelet Transforms

Design and Applications

  • Ali N. Akansu
  • Mark J. T. Smith

Part of the The Kluwer International Series in Engineering and Computer Science book series (SECS, volume 340)

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Mark J. T. Smith, Ali N. Akansu
    Pages 1-31
  3. Ali N. Akansu, Richard A. Haddad
    Pages 33-82
  4. Kambiz Nayebi, Thomas P. Barnwell, Mark J. T. Smith
    Pages 83-112
  5. Rashid Ansari
    Pages 113-148
  6. Jean-Pierre Antoine, Romain Murenzi
    Pages 149-187
  7. Albert Cohen, Eric Séré
    Pages 189-211
  8. Bernd Girod, Frank Hartung, Uwe Horn
    Pages 213-250
  9. Reginald L. Lagendijk, Frank Bosveld, Jan Biemond
    Pages 251-285
  10. James D. Johnston
    Pages 287-307
  11. Gary J. Saulnier, Michael J. Medley, Pankaj K. Das
    Pages 309-345
  12. Phillip L. De León II, Delores M. Etter
    Pages 347-367
  13. Richard V. Cox
    Pages 369-389
  14. Irving Kalet
    Pages 391-412
  15. Back Matter
    Pages 413-451

About this book

Introduction

The scientists and engineers of today are relentless in their continuing study and analysis of the world about us from the microcosm to the macrocosm. A central purpose of this study is to gain sufficient scientific information and insight to enable the development of both representative and useful models of the superabundance of physical processes that surround us. The engineers need these models and the associated insight in order to build the information processing systems and control systems that comprise these new and emerging technologies. Much of the early modeling work that has been done on these systems has been based on the linear time-invariant system theory and its extensive use of Fourier transform theory for both continuous and discrete systems and signals. However many of the signals arising in nature and real systems are neither stationary nor linear but tend to be concentrated in both time and frequency. Hence a new methodology is needed to take these factors properly into account.

Keywords

Adaptive Filter Modulation Scrambler analog coding communication filter filtering filters linear optimization wavelets

Editors and affiliations

  • Ali N. Akansu
    • 1
  • Mark J. T. Smith
    • 2
  1. 1.New Jersey Institute of TechnologyUSA
  2. 2.Georgia Institute of TechnologyUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4613-0483-8
  • Copyright Information Springer-Verlag US 1996
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4612-7580-0
  • Online ISBN 978-1-4613-0483-8
  • Series Print ISSN 0893-3405
  • About this book