Introduction to Graph Signal Processing
eBook - PDF

Introduction to Graph Signal Processing

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Introduction to Graph Signal Processing

About this book

An intuitive and accessible text explaining the fundamentals and applications of graph signal processing. Requiring only an elementary understanding of linear algebra, it covers both basic and advanced topics, including node domain processing, graph signal frequency, sampling, and graph signal representations, as well as how to choose a graph. Understand the basic insights behind key concepts and learn how graphs can be associated to a range of specific applications across physical, biological and social networks, distributed sensor networks, image and video processing, and machine learning. With numerous exercises and Matlab examples to help put knowledge into practice, and a solutions manual available online for instructors, this unique text is essential reading for graduate and senior undergraduate students taking courses on graph signal processing, signal processing, information processing, and data analysis, as well as researchers and industry professionals.

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Yes, you can access Introduction to Graph Signal Processing by Antonio Ortega 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. Half-title
  3. Title page
  4. Copyright infromation
  5. Dedication
  6. Contents
  7. Preface
  8. Acknowledgments
  9. Notation
  10. 1 Introduction
  11. 2 Node Domain Processing
  12. 3 Graph Signal Frequency – Spectral Graph Theory
  13. 4 Sampling
  14. 5 Graph Signal Representations
  15. 6 How to Choose a Graph
  16. 7 Applications
  17. Appendix A Linear Algebra and Signal Representations
  18. Appendix B GSP with Matlab: The GraSP Toolbox
  19. References
  20. Index