Signal Processing Algorithms for Communication and Radar Systems
eBook - PDF

Signal Processing Algorithms for Communication and Radar Systems

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

Signal Processing Algorithms for Communication and Radar Systems

About this book

Based on time-tested course material, this authoritative text examines the key topics, advanced mathematical concepts, and novel analytical tools needed to understand modern communication and radar systems. It covers computational linear algebra theory, VLSI systolic algorithms and designs, practical aspects of chaos theory, and applications in beamforming and array processing, and uses a variety of CDMA codes, as well as acoustic sensing and beamforming algorithms to illustrate key concepts. Classical topics such as spectral analysis are also covered, and each chapter includes a wealth of homework problems. This is an invaluable text for graduate students in electrical and computer engineering, and an essential reference for practitioners in communications and radar engineering.

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Yes, you can access Signal Processing Algorithms for Communication and Radar Systems by Kung Yao 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. Endorsements
  3. Half-title
  4. Title page
  5. Copyright Information
  6. Dedication
  7. Contents
  8. Preface
  9. 1 Applications of Spectral Analysis
  10. 2 Discrete Fourier Transform, Fast Fourier Transform, and Convolution
  11. 3 Spectral Analysis via Continuous/Discrete Fourier Transformation
  12. 4 Parametric Spectral Analysis
  13. 5 Time-Frequency Spectral Analysis
  14. 6 Wavelets and Subband Decomposition
  15. 7 Beamforming and Array Processing
  16. 8 Introduction to Compressive Sampling
  17. 9 Chaotic Signal Analysis and Processing
  18. 10 Computational Linear Algebra
  19. 11 Applications of LS and SVD Techniques
  20. 12 Quantization, Saturation, and Scaling
  21. 13 Introduction to Systolic Arrays
  22. 14 Systolic Array Design by Dependence Graph Mapping
  23. 15 Systolic Array Processing for Least-Squares Estimation
  24. 16 Systolic Algorithms and Architectures for Communication and Radar Systems
  25. Index