Wavelets
eBook - ePub

Wavelets

A Concise Guide

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Wavelets

A Concise Guide

About this book

Introduced nearly three decades ago as a variable resolution alternative to the Fourier transform, a wavelet is a short oscillatory waveform for analysis of transients. The discrete wavelet transform has remarkable multi-resolution and energy-compaction properties. Amir-Homayoon Najmi's introduction to wavelet theory explains this mathematical concept clearly and succinctly.

Wavelets are used in processing digital signals and imagery from myriad sources. They form the backbone of the JPEG2000 compression standard, and the Federal Bureau of Investigation uses biorthogonal wavelets to compress and store its vast database of fingerprints. Najmi provides the mathematics that demonstrate how wavelets work, describes how to construct them, and discusses their importance as a tool to investigate and process signals and imagery. He reviews key concepts such as frames, localizing transforms, orthogonal and biorthogonal bases, and multi-resolution. His examples include the Haar, the Shannon, and the Daubechies families of orthogonal and biorthogonal wavelets.

Our capacity and need for collecting and transmitting digital data is increasing at an astonishing rate. So too is the importance of wavelets to anyone working with and analyzing digital data. Najmi's primer will be an indispensable resource for those in computer science, the physical sciences, applied mathematics, and engineering who wish to obtain an in-depth understanding and working knowledge of this fascinating and evolving field.

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Yes, you can access Wavelets by Amir-Homayoon Najmi in PDF and/or ePUB format, as well as other popular books in Mathematics & Applied Mathematics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Title Page
  3. Copyright Page
  4. Dedication
  5. Contents
  6. List of Tables
  7. List of Figures
  8. List of Acronyms
  9. Preface
  10. Acknowledgments
  11. 1 Analysis in Vector and Function Spaces
  12. 2 Linear Time-Invariant Systems
  13. 3 Time, Frequency, and Scale Localizing Transforms
  14. 4 The Haar and Shannon Wavelets
  15. 5 General Properties of Scaling and Wavelet Functions
  16. 6 Discrete Wavelet Transform of Discrete Time Signals
  17. 7 Wavelet Regularity and Daubechies Solutions
  18. 8 Orthogonal Wavelet Packets
  19. 9 Wavelet Transform in Two Dimensions
  20. Bibliography
  21. Index
  22. Footnotes