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  • Textbook
  • © 2013

Wavelets Made Easy

Birkhäuser

Authors:

  • Affordable reprint of a classic undergraduate textbook
  • Accessible guide to wavelets with applications to many fields
  • Includes numerous exercises? at the end of each section

Part of the book series: Modern Birkhäuser Classics (MBC)

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Softcover Book USD 54.99
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Table of contents (9 chapters)

  1. Front Matter

    Pages i-xiii
  2. Algorithms for Wavelet Transforms

    1. Front Matter

      Pages 1-1
    2. Haar’s Simple Wavelets

      • Yves Nievergelt
      Pages 3-35
    3. Multidimensional Wavelets and Applications

      • Yves Nievergelt
      Pages 36-72
    4. Algorithms for Daubechies Wavelets

      • Yves Nievergelt
      Pages 73-113
  3. Basic Fourier Analysis

    1. Front Matter

      Pages 115-115
    2. Inner Products and Orthogonal Projections

      • Yves Nievergelt
      Pages 117-146
    3. Discrete and Fast Fourier Transforms

      • Yves Nievergelt
      Pages 147-174
    4. Fourier Series for Periodic Functions

      • Yves Nievergelt
      Pages 175-201
  4. Computation and Design of Wavelets

    1. Front Matter

      Pages 203-203
    2. Fourier Transforms on the Line and in Space

      • Yves Nievergelt
      Pages 205-237
    3. Daubechies Wavelets Design

      • Yves Nievergelt
      Pages 238-261
    4. Signal Representations with Wavelets

      • Yves Nievergelt
      Pages 262-283
  5. Back Matter

    Pages 285-297

About this book

Originally published in 1999, Wavelets Made Easy offers a lucid and concise explanation of mathematical wavelets.  Written at the level of a first course in calculus and linear algebra, its accessible presentation is designed for undergraduates in a variety of disciplines—computer science, engineering, mathematics, mathematical sciences—as well as for practicing professionals in these areas. 

 

The present softcover reprint retains the corrections from the second printing (2001) and makes this unique text available to a wider audience. The first chapter starts with a description of the key features and applications of wavelets, focusing on Haar's wavelets but using only high-school mathematics. The next two chapters introduce one-, two-, and three-dimensional wavelets, with only the occasional use of matrix algebra.

 

The second part of this book provides the foundations of least-squares approximation, the discrete Fourier transform, and Fourier series. The third part explains the Fourier transform and then demonstrates how to apply basic Fourier analysis to designing and analyzing mathematical wavelets. Particular attention is paid to Daubechies wavelets.

 

Numerous exercises, a bibliography, and a comprehensive index combine to make this book an excellent text for the classroom as well as a valuable resource for self-study.

Reviews

From the reviews:

“This book is very suitable as a text for an upper division class in wavelets. A large number of exercises, including many based on applications, are included … . This book could also be used as a resource for self-study by the determined student.” (Charles Ashbacher, MAA Reviews, February, 2013)

Authors and Affiliations

  • , Department of Mathematics, Eastern Washington University, Cheney, USA

    Yves Nievergelt

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
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

Other ways to access