Compressive Sensing for Wireless Communication
eBook - ePub

Compressive Sensing for Wireless Communication

Challenges and Opportunities

  1. 494 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Compressive Sensing for Wireless Communication

Challenges and Opportunities

About this book

Compressed Sensing (CS) is a promising method that recovers the sparse and compressible signals from severely under-sampled measurements. CS can be applied to wireless communication to enhance its capabilities. As this technology is proliferating, it is possible to explore its need and benefits for emerging applicationsCompressive Sensing for Wireless Communication provides:• A clear insight into the basics of compressed sensing• A thorough exploration of applying CS to audio, image and computer vision• Different dimensions of applying CS in Cognitive radio networks• CS in wireless sensor network for spatial compression and projection• Real world problems/projects that can be implemented and tested• Efficient methods to sample and reconstruct the images in resource constrained WMSN environmentThis book provides the details of CS and its associated applications in a thorough manner. It lays a direction for students and new engineers and prepares them for developing new tasks within the field of CS. It is an indispensable companion for practicing engineers who wish to learn about the emerging areas of interest.

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Information

Year
2022
Print ISBN
9788793379855
eBook ISBN
9781000791228

Table of contents

  1. Cover
  2. Half Title
  3. Series
  4. Title
  5. Copyright
  6. Contents
  7. Preface
  8. Acknowledgement
  9. List of Figures
  10. List of Tables
  11. List of Algorithms
  12. List of Abbreviations
  13. 1 Introduction
  14. 2 Compressed Sensing: Sparsity and Signal Recovery
  15. 3 Recovery Algorithms
  16. 4 Compressive Sensing for Audio and Speech Signals
  17. 5 Compressive Sensing for Images
  18. 6 Compressive Sensing for Computer Vision
  19. 7 Compressed Sensing for Wireless Networks
  20. 8 Compressive Spectrum Sensing for Cognitive Radio Networks
  21. 9 Compressive Sensing for Wireless Sensor Networks
  22. 10 Efficient Sampling and Reconstruction Strategy for CS in WMSNS
  23. 11 Real-World Applications of Compressive Sensing
  24. Index
  25. About the Authors

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Yes, you can access Compressive Sensing for Wireless Communication by Radha Sankararajan,Hemalatha Rajendran,Aasha Nandhini Sukumaran in PDF and/or ePUB format, as well as other popular books in Physical Sciences & Electrical Engineering & Telecommunications. We have over one million books available in our catalogue for you to explore.