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Subband and Wavelet Transforms

Design and Applications

  • Book
  • © 1996

Overview

Editors:
  1. Ali N. Akansu

    1. New Jersey Institute of Technology, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Mark J. T. Smith

    1. Georgia Institute of Technology, USA

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    You can also search for this editor in PubMed   Google Scholar

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

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Table of contents (13 chapters)

  1. Front Matter

    Pages i-xvii
    Download chapter PDF

  2. Introduction and Overview

    • Mark J. T. Smith, Ali N. Akansu
    Pages 1-31

  3. Fundamentals and Optimal Design of Subband and Wavelet Transforms

    • Ali N. Akansu, Richard A. Haddad
    Pages 33-82

  4. Matrix Theory for Filter Bank Analysis and Design

    • Kambiz Nayebi, Thomas P. Barnwell, Mark J. T. Smith
    Pages 83-112

  5. IIR Filter Banks and Wavelets

    • Rashid Ansari
    Pages 113-148

  6. The Continuous Wavelet Transform, from 1 to 3 Dimensions

    • Jean-Pierre Antoine, Romain Murenzi
    Pages 149-187

  7. Time-Frequency Localization with Non-Stationary Wavelet Packets

    • Albert Cohen, Eric Séré
    Pages 189-211

  8. Subband Image Coding

    • Bernd Girod, Frank Hartung, Uwe Horn
    Pages 213-250

  9. Subband Video Coding

    • Reginald L. Lagendijk, Frank Bosveld, Jan Biemond
    Pages 251-285

  10. Audio Coding with Filter Banks

    • James D. Johnston
    Pages 287-307

  11. Wavelets and Filter Banks in Spread Spectrum Communication Systems

    • Gary J. Saulnier, Michael J. Medley, Pankaj K. Das
    Pages 309-345

  12. Acoustic Echo Cancellation Using Subband Adaptive Filtering

    • Phillip L. De León II, Delores M. Etter
    Pages 347-367

  13. Analog Scramblers

    • Richard V. Cox
    Pages 369-389

  14. Multitone Modulation

    • Irving Kalet
    Pages 391-412

  15. Back Matter

    Pages 413-451
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Keywords

About this book

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.

Editors and Affiliations

  • New Jersey Institute of Technology, USA

    Ali N. Akansu

  • Georgia Institute of Technology, USA

    Mark J. T. Smith

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