Antonio Napolitano,
Antonio (Full Professor of Telecommunications at the University of Napoli Parthenope (Italy).) Napolitano
Cyclostationary Processes and Time Series
Theory, Applications, and Generalizations
Paperback Engels 2019 9780081027080
Verwachte levertijd ongeveer 9 werkdagen
Samenvatting
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.
Specificaties
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Inhoudsopgave
<p>PART I CYCLOSTATIONARITY <br>1. Characterization of Stochastic Processes <br>2. Characterization of Time-Series <br>3 Almost-Cyclostationary Signal Processing <br>4. Higher-Order Cyclostationarity <br>5. Ergodic Properties and Measurement of Characteristics <br>6. Quadratic Time-Frequency Distributions <br>7. Manufactured Signals <br>8. Detection and Cycle Frequency Estimation <br>9. Communications Systems <br>10. Selected Topics and Applications </p> <p>PART II GENERALIZATIONS <br>11. Limits of the Almost-Cyclostationary Model <br>12. Generalized Almost-Cyclostationary Signals <br>13. Spectrally Correlated Signals <br>14. Oscillatory Almost-Cyclostationary Signals <br>15. The Big Picture </p> <p>PART III APPENDICES <br>A. Nonstationary Signal Analysis <br>B. Almost-Periodic Functions <br>C. Sampling and Replication <br>D. Hilbert Transform, Analytic Signal, and Complex Envelope <br>E. Complex Random Vectors, Quadratic Forms, and Chi Squared Distribution <br>F. Bibliographic Notes </p>
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