Signal Processing
eBook - PDF

Signal Processing

An Applied Decomposition Approach

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

Signal Processing

An Applied Decomposition Approach

About this book

Separate signals from noise with this valuable introduction to signal processing by applied decomposition

The decomposition of complex signals into the sub-signals, or individual components, is a crucial tool in signal processing. It allows each component of a signal to be analyzed individually, enables the signal to be isolated from noise, and processed in full. Decomposition processes have not always been widely adopted due to the difficult underlying mathematics and complex applications. This text simplifies these obstacles.

Signal Processing: An Applied Decomposition Approach demystifies these tools from a model-based perspective. This offers a mathematically informed, "step-by-step" analysis of the process by breaking down a composite signal/system into its constituent parts, while introducing both fundamental concepts and advanced applications. This comprehensive approach addresses each of the major decomposition techniques, making it an indispensable addition to any library specializing in signal processing.

Signal Processing readers will find:

  • Signal decomposition techniques developed from the data-based, spectral-based and model-based perspectives incorporate: statistical approaches (PCA, ICA, Singular Spectrum); spectral approaches (MTM, PHD, MUSIC); and model-based approaches (EXP, LATTICE, SSP)
  • In depth discussion of topics includes signal/system estimation and decomposition, time domain and frequency domain techniques, systems theory, modal decompositions, applications and many more
  • Numerous figures, examples, and tables illustrating key concepts and algorithms are developed throughout the text
  • Includes problem sets, case studies, real-world applications as well as MATLAB notes highlighting applicable commands

Signal Processing is ideal for engineering and scientific professionals, as well as graduate students seeking a focused text on signal/system decomposition with performance metrics and real-world applications.

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Yes, you can access Signal Processing by James Vincent Candy 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. Contents
  5. About the Author
  6. Preface
  7. Acknowledgments
  8. Glossary
  9. About the Companion Website
  10. Chapter 1 Introduction
  11. Chapter 2 Random Signals and Systems
  12. Chapter 3 Signal Models
  13. Chapter 4 Signal Estimation
  14. Chapter 5 Signal Decomposition
  15. Chapter 6 Model‐based Decomposition: Time Domain
  16. Chapter 7 Model‐Based Decomposition: Frequency Domain
  17. Chapter 8 Performance Analysis
  18. Chapter 9 Applications
  19. A Probability and Statistics Overview
  20. B Projection Theory
  21. C Matrix Decompositions
  22. Index
  23. EULA