Discrete Wavelet Transform
eBook - ePub

Discrete Wavelet Transform

A Signal Processing Approach

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

Discrete Wavelet Transform

A Signal Processing Approach

About this book

Provides easy learning and understanding of DWT from a signal processing point of view

  • Presents DWT from a digital signal processing point of view, in contrast to the usual mathematical approach, making it highly accessible
  • Offers a comprehensive coverage of related topics, including convolution and correlation, Fourier transform, FIR filter, orthogonal and biorthogonal filters
  • Organized systematically, starting from the fundamentals of signal processing to the more advanced topics of DWT and Discrete Wavelet Packet Transform.
  • Written in a clear and concise manner with abundant examples, figures and detailed explanations
  • Features a companion website that has several MATLAB programs for the implementation of the DWT with commonly used filters

"This well-written textbook is an introduction to the theory of discrete wavelet transform (DWT) and its applications in digital signal and image processing."
-- Prof. Dr. Manfred Tasche - Institut für Mathematik, Uni Rostock

Full review at https://zbmath.org/?q=an: 06492561

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Yes, you can access Discrete Wavelet Transform by D. Sundararajan in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Signals & Signal Processing. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Title Page
  3. Copyright
  4. Table of Contents
  5. Preface
  6. List of Abbreviations
  7. Chapter 1: Introduction
  8. Chapter 2: Signals
  9. Chapter 3: Convolution and Correlation
  10. Chapter 4: Fourier Analysis of Discrete Signals
  11. Chapter 5: The z-Transform
  12. Chapter 6: Finite Impulse Response Filters
  13. Chapter 7: Multirate Digital Signal Processing
  14. Chapter 8: The Haar Discrete Wavelet Transform
  15. Chapter 9: Orthogonal Filter Banks
  16. Chapter 10: Biorthogonal Filter Banks
  17. Chapter 11: Implementation of the Discrete Wavelet Transform
  18. Chapter 12: The Discrete Wavelet Packet Transform
  19. Chapter 13: The Discrete Stationary Wavelet Transform
  20. Chapter 14: The Dual-Tree Discrete Wavelet Transform
  21. Chapter 15: Image Compression
  22. Chapter 16: Denoising
  23. Bibliography
  24. Answers to Selected Exercises
  25. Index
  26. End User License Agreement