Cyclostationary Processes and Time Series
eBook - ePub

Cyclostationary Processes and Time Series

Theory, Applications, and Generalizations

  1. 626 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Cyclostationary Processes and Time Series

Theory, Applications, and Generalizations

About this book

Many processes in nature arise from the interaction of periodic phenomena with random phenomena. The results are processes that are not periodic, but whose statistical functions are periodic functions of time. These processes are called cyclostationary and are an appropriate mathematical model for signals encountered in many fields including communications, radar, sonar, telemetry, acoustics, mechanics, econometrics, astronomy, and biology.Cyclostationary Processes and Time Series: Theory, Applications, and Generalizations addresses these issues and includes the following key features.- Presents the foundations and developments of the second- and higher-order theory of cyclostationary signals- Performs signal analysis using both the classical stochastic process approach and the functional approach for time series- Provides applications in signal detection and estimation, filtering, parameter estimation, source location, modulation format classification, and biological signal characterization- Includes algorithms for cyclic spectral analysis along with Matlab/Octave code- Provides generalizations of the classical cyclostationary model in order to account for relative motion between transmitter and receiver and describe irregular statistical cyclicity in the data

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Yes, you can access Cyclostationary Processes and Time Series by Antonio Napolitano in PDF and/or ePUB format, as well as other popular books in Tecnología e ingeniería & Señales y procesamiento de señales. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Copyright
  5. Dedication
  6. About the Author
  7. Preface
  8. Acknowledgment
  9. List of Abbreviations
  10. Notation
  11. Part 1: Cyclostationarity
  12. 1: Characterization of stochastic processes
  13. 2: Characterization of time-series
  14. 3: Almost-cyclostationary signal processing
  15. 4: Higher-order cyclostationarity
  16. 5: Ergodic properties and measurement of characteristics
  17. 6: Quadratic time-frequency distributions
  18. 7: Manufactured signals
  19. 8: Detection and cycle frequency estimation
  20. 9: Communications systems: design and analysis
  21. 10: Selected topics and applications
  22. Part 2: Generalizations
  23. 11: Limits of the ACS model
  24. 12: Generalized almost-cyclostationary signals
  25. 13: Spectrally correlated signals
  26. 14: Oscillatory almost-cyclostationary signals
  27. 15: The big picture
  28. Part 3: Appendices
  29. A: Nonstationary signal analysis
  30. B: Almost-periodic functions
  31. C: Sampling and replication
  32. D: Hilbert transform, analytic signal, and complex envelope
  33. E: Complex random vectors, quadratic forms, and chi squared distribution
  34. F: Bibliographic notes
  35. Bibliography
  36. Index