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Wavelets and Signal Processing

An Application-Based Introduction

  • Hans-Georg┬áStark

Table of contents

  1. Front Matter
    Pages I-X
  2. Pages 1-12
  3. Pages 13-42
  4. Pages 95-124
  5. Back Matter
    Pages 125-150

About this book

Introduction

As the applications of wavelet transform have spread to diverse areas of signal analysis and compression, students and practitioners need a practical introduction and overview. This textbook provides that concise and practical introduction to the underlying foundations and important applications. Through numerous examples and case studies from industry, it demonstrates both the potential and the limits of wavelet techniques, expanding the usual treatment beyond the discrete wavelet transform to the continuous transform. Providing the basics of Fourier transforms and digital filters in the appendix, the text is supplemented with end-of-chapter exercises, MATLAB code, and a short introduction to the MATLAB wavelet toolbox. Students of electrical engineering and engineers in industry can benefit from the concentration on real applications.   

Keywords

Diskrete Fouriertransformation Fourier transform MATLAB Potential Signal Wavelet calculus discrete Fourier transform electrical engineering signal analysis signal processing uncertainty wavelets

Authors and affiliations

  • Hans-Georg┬áStark
    • 1
  1. 1.FB IngenieurwissenschaftenFH Aschaffenburg - University of Applied SciencesAschaffenburgGermany

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-27481-2
  • Copyright Information Springer-Verlag Berlin Heidelberg 2005
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-23433-3
  • Online ISBN 978-3-540-27481-0
  • Buy this book on publisher's site