Skip to main content

WavBox 4: A Software Toolbox for Wavelet Transforms and Adaptive Wavelet Packet Decompositions

  • Chapter
Wavelets and Statistics

Part of the book series: Lecture Notes in Statistics ((LNS,volume 103))

Abstract

WavBox provides both a function library and a computing environment for wavelet transforms and adaptive wavelet packet decompositions. WavBox contains a collection of these transforms, decompositions, and related functions that perform multiresolution analyses of 1-D multichannel signals and 2-D images. The current version 4.1c includes overscaled pyramid transforms, discrete wavelet transforms, and adaptive wavelet and cosine packet decompositions by best level, best basis, and matching pursuit as described by Mallat, Coifman, Wickerhauser, and other authors. WavBox also implements Taswell’s new search algorithms with decision criteria, called near-best basis and non-additive information costs respectively, for selecting bases in wavelet packet transforms, as well as Donoho and Johnstone’s wavelet shrinkage denoising methods. Various choices of filter classes (orthogonal, biorthogonal, etc), filter families (Daubechies, Vetterli, etc), and convolution versions (interval, circular, extended, etc) exist for each transform and decomposition. The software has been designed for efficient automated computation, interactive exploratory data analysis, and pedagogy. Essential features of the design include: perfect reconstruction for multiresolution decomposition of data of arbitrary size not restricted to powers of 2; both command line and graphical user interfaces with a comprehensive set of plots and visual displays; an object property expert system with artificial intelligence for configuring valid property combinations; heirarchical modules and switch-driven function suites; vector-filter and matrix-operator implementations of convolutions; extensibility for the inclusion of other wavelet filters, convolution versions, and transforms; optional arguments with built-in defaults for most m-files; and extensive on-line help and self-running tutorial demos.

WavBox 4 Copyright 1993–94 Carl Taswell; all rights reserved

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 89.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 119.99
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. The Math Works, Inc., Natick, MA. MATLAB Reference Guide, August 1992.

    Google Scholar 

  2. Carl Taswell. MATLAB wavelet toolbox. Wavelet Digest, 2(11), July 1993. Topic #7.

    Google Scholar 

  3. Carl Taswell. Top-down and bottom-up tree search algorithms for selecting bases in wavelet packet transforms. In Anestis Antoniadis and Georges Oppenheim, editors, Wavelets and Statistics, Lecture notes in Statistics, pages 345–360 Springer Verlag, 1995. Proceedings of the Villard de Lans Conference November 1994.

    Google Scholar 

  4. Carl Taswell and Kevin C. McGill. Wavelet transform algorithms for finite-duration discrete- time signals: Signal-end effects. Technical Report NA-91-07, Computer Science Department, Stanford University, Stanford, CA, November 1991.

    Google Scholar 

  5. Carl Taswell and Kevin C. McGill. Algorithm 735: Wavelet transform algorithms for finite- duration discrete-time signals. ACM Transactions on Mathematical Software, 20 (3): 398 – 412, September 1994.

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1995 Springer-Verlag New York

About this chapter

Cite this chapter

Taswell, C. (1995). WavBox 4: A Software Toolbox for Wavelet Transforms and Adaptive Wavelet Packet Decompositions. In: Antoniadis, A., Oppenheim, G. (eds) Wavelets and Statistics. Lecture Notes in Statistics, vol 103. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-2544-7_21

Download citation

  • DOI: https://doi.org/10.1007/978-1-4612-2544-7_21

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-94564-4

  • Online ISBN: 978-1-4612-2544-7

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics