Digital Signal Processing
eBook - ePub

Digital Signal Processing

Mathematical and Computational Methods, Software Development and Applications

  1. 840 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Digital Signal Processing

Mathematical and Computational Methods, Software Development and Applications

Book details
Table of contents
Citations

About This Book

This book forms the first part of a complete MSc course in an area that is fundamental to the continuing revolution in information technology and communication systems. Massively exhaustive, authoritative, comprehensive and reinforced with software, this is an introduction to modern methods in the developing field of Digital Signal Processing (DSP). The focus is on the design of algorithms and the processing of digital signals in areas of communications and control, providing the reader with a comprehensive introduction to the underlying principles and mathematical models.

  • Provides an introduction to modern methods in the developing field of Digital Signal Processing (DSP)
  • Focuses on the design of algorithms and the processing of digital signals in areas of communications and control
  • Provides a comprehensive introduction to the underlying principles and mathematical models of Digital Signal Processing

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Yes, you can access Digital Signal Processing by Jonathan M Blackledge in PDF and/or ePUB format, as well as other popular books in Tecnologia e ingegneria & Elaborazione di segnali. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Woodhead Publishing
Year
2006
ISBN
9780857099457
Edition
2
Topic
Tecnologia e ingegneria
Subtopic
Elaborazione di segnali

Table of contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Digital Signal Processing
  5. Dedication
  6. About the Author
  7. Copyright page
  8. Foreword to the Second Edition
  9. Preface to the Second Edition
  10. Acknowledgements
  11. Notation
  12. Glossary of Terms
  13. Introduction
  14. Part I: Signal Analysis
  15. Part II: Computational Linear Algebra
  16. Part III: Programming and Software Engineering
  17. Part IV: DSP: Methods, Algorithms and Building a Library
  18. Summary
  19. Appendix A: Solutions to Problems
  20. Appendix B: Graphics Utility
  21. Index