Cyclostationary Processes and Time Series: Theory, Applications, and Generalizations - Softcover

Napolitano, Antonio

Softcover

ISBN 10: 0081027087 ISBN 13: 9780081027080

Publisher: Academic Press, 2019

Synopsis

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

About this title

From the Back Cover

Cyclostationary processes provide an appropriate model for signals occurring in many fields of application such as communications engineering, radar/sonar, telemetry, mechanics, acoustics, econometrics, meteorology, hydrology, astronomy, and biology. The combination of these models with signal processing algorithms enables better performance than classical algorithms based on stationary models.

Cyclostationarity: Theory and Applications is a comprehensive reference combining classical cyclostationarity theory with the most recent theoretical advances and their application.

Content includes:

• The underlying theoretical framework, accompanied by details of their practical application

• The mathematical models of cyclostationary processes and their generalization.

• Second- and higher-order characterization of cyclostationary processes and their generalizations in time and frequency domains.

• Continuous- and discrete-time estimators of statistical functions of cyclostationary processes and their generalizations.

• The analysis of mean-square consistency and asymptotic Normality of statistical function estimators

• Applications where the adoption of these models with signal processing algorithms enables better performance than classical algorithms based on stationary models for signals.

• Signal analysis using both the classical stochastic-process approach and the functional approach, where statistical functions are built starting from a single function of time.

About the Author

Antonio Napolitano is Full Professor of Telecommunications at the University of Napoli Parthenope (Italy). In 1995 he received the Best Paper of the Year Award from the European Association for Signal Processing (EURASIP) for a paper on higher-order cyclostationarity. In 2007 was recipient of the EURASIP Best Paper Award for a paper on the functional approach in signal analysis. In 2008 he received from Elsevier the Most Cited Paper Award for a review article on cyclostationarity.
In 2016 he became an IEEE Fellow. He has been Associate Editor of the IEEE Transactions on Signal Processing and is on the Editorial Board of Signal Processing (Elsevier) and Digital Signal Processing (Elsevier). He has been in the Signal Processing Theory and Methods Technical Committees (SPM-TC) and is now in the Sensor Array and Multichannel Technical Committee (SAM-TC) of the IEEE Signal Processing Society.

Edition details

• Publisher: Academic Press
• Publication date: 2019
• ISBN 10: 0081027087
• ISBN 13: 9780081027080
• Binding: Paperback
• Language: English
• Edition number: 1
• Number of pages: 626