Generalizations of Cyclostationary Signal Processing / Wiley - IEEE (ePub)
Spectral Analysis and Applications
(Sprache: Englisch)
The relative motion between the transmitter and the receiver
modifies the nonstationarity properties of the transmitted signal.
In particular, the almost-cyclostationarity property exhibited by
almost all modulated signals adopted in communications,...
modifies the nonstationarity properties of the transmitted signal.
In particular, the almost-cyclostationarity property exhibited by
almost all modulated signals adopted in communications,...
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The relative motion between the transmitter and the receiver
modifies the nonstationarity properties of the transmitted signal.
In particular, the almost-cyclostationarity property exhibited by
almost all modulated signals adopted in communications, radar,
sonar, and telemetry can be transformed into more general kinds of
nonstationarity. A proper statistical characterization of the
received signal allows for the design of signal processing
algorithms for detection, estimation, and classification that
significantly outperform algorithms based on classical descriptions
of signals.Generalizations of Cyclostationary Signal
Processing addresses these issues and includes the
following key features:
* Presents the underlying theoretical framework, accompanied by
details of their practical application, for the mathematical models
of generalized almost-cyclostationary processes and spectrally
correlated processes; two classes of signals finding growing
importance in areas such as mobile communications, radar and
sonar.
* Explains second- and higher-order characterization of
nonstationary stochastic processes in time and frequency
domains.
* Discusses continuous- and discrete-time estimators of
statistical functions of generalized almost-cyclostationary
processes and spectrally correlated processes.
* Provides analysis of mean-square consistency and asymptotic
Normality of statistical function estimators.
* Offers extensive analysis of Doppler channels owing to the
relative motion between transmitter and receiver and/or surrounding
scatterers.
* Performs 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.
modifies the nonstationarity properties of the transmitted signal.
In particular, the almost-cyclostationarity property exhibited by
almost all modulated signals adopted in communications, radar,
sonar, and telemetry can be transformed into more general kinds of
nonstationarity. A proper statistical characterization of the
received signal allows for the design of signal processing
algorithms for detection, estimation, and classification that
significantly outperform algorithms based on classical descriptions
of signals.Generalizations of Cyclostationary Signal
Processing addresses these issues and includes the
following key features:
* Presents the underlying theoretical framework, accompanied by
details of their practical application, for the mathematical models
of generalized almost-cyclostationary processes and spectrally
correlated processes; two classes of signals finding growing
importance in areas such as mobile communications, radar and
sonar.
* Explains second- and higher-order characterization of
nonstationary stochastic processes in time and frequency
domains.
* Discusses continuous- and discrete-time estimators of
statistical functions of generalized almost-cyclostationary
processes and spectrally correlated processes.
* Provides analysis of mean-square consistency and asymptotic
Normality of statistical function estimators.
* Offers extensive analysis of Doppler channels owing to the
relative motion between transmitter and receiver and/or surrounding
scatterers.
* Performs 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.
Autoren-Porträt von Antonio Napolitano
Antonio Napolitano, University of Napoli "Parthenope", ItalyDr. Napolitano is currently Professor of Telecommunications at the University of Napoli "Parthenope". He is a Senior Member of IEEE. He has been a member of various journal editorial boards such as Signal Processing (Elsevier) and Journal of Electrical and Computer Engineering (Hindawi). He is the principal investigator of a NATO Grant on Communications Security. Recent awards include 2008 Most Cited Paper Award from Elsevier for a paper co-authored with W. A. Gardner and L. Paura entitled "Cyclostationarity: Half a century of research" (Signal Processing, vol. 86, April 2006), the most cited article in the last 5 years on Signal Processing (Elsevier); and in the 10 top most downloaded articles in the journal. Dr. Napolitano has held visiting appointments including: University Jeann Monnet, France; University of South Australia and Centro de Investigacion en Matematicas (CIMAT), Mexico. His research interests include statistical signal processing, system identification, the theory of higher order statistics of nonstationary signals and wireless systems.
Bibliographische Angaben
- Autor: Antonio Napolitano
- 2012, 1. Auflage, 504 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 1118437918
- ISBN-13: 9781118437919
- Erscheinungsdatum: 07.12.2012
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