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

Napolitano, Antonio

Softcover

ISBN 10: 0081027087 ISBN 13: 9780081027080

Verlag: Academic Press, 2019

Inhaltsangabe

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.

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Über die Autorin bzw. den Autor

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.

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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.

Details zur Ausgabe

• Verlag: Academic Press
• Erscheinungsdatum: 2019
• Sprache: Englisch
• ISBN 10: 0081027087
• ISBN 13: 9780081027080
• Einband: Taschenbuch
• Anzahl der Seiten: 626
• Kontakt zum Hersteller: Academic Press; https://shop.elsevier.com/; ; 230 PARK AVENUE, SUITE 800; NY; NY; 10169; USA
• Verantwortliche Person: GPSR Kontakt; gpsr@libri.de; ; Europaallee 1; Bad Hersfeld; 36244; Deutschland