E-Book, Englisch, 504 Seiten, E-Book
Reihe: Wiley - IEEE
Napolitano Generalizations of Cyclostationary Signal Processing
1. Auflage 2012
ISBN: 978-1-118-43790-2
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
Spectral Analysis and Applications
E-Book, Englisch, 504 Seiten, E-Book
Reihe: Wiley - IEEE
ISBN: 978-1-118-43790-2
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
The relative motion between the transmitter and the receivermodifies the nonstationarity properties of the transmitted signal.In particular, the almost-cyclostationarity property exhibited byalmost all modulated signals adopted in communications, radar,sonar, and telemetry can be transformed into more general kinds ofnonstationarity. A proper statistical characterization of thereceived signal allows for the design of signal processingalgorithms for detection, estimation, and classification thatsignificantly outperform algorithms based on classical descriptionsof signals.Generalizations of Cyclostationary SignalProcessing addresses these issues and includes thefollowing key features:
* Presents the underlying theoretical framework, accompanied bydetails of their practical application, for the mathematical modelsof generalized almost-cyclostationary processes and spectrallycorrelated processes; two classes of signals finding growingimportance in areas such as mobile communications, radar andsonar.
* Explains second- and higher-order characterization ofnonstationary stochastic processes in time and frequencydomains.
* Discusses continuous- and discrete-time estimators ofstatistical functions of generalized almost-cyclostationaryprocesses and spectrally correlated processes.
* Provides analysis of mean-square consistency and asymptoticNormality of statistical function estimators.
* Offers extensive analysis of Doppler channels owing to therelative motion between transmitter and receiver and/or surroundingscatterers.
* Performs signal analysis using both the classicalstochastic-process approach and the functional approach, wherestatistical functions are built starting from a single function oftime.
