Generalizations of cyclostationary signal processing : spectral analysis and applications / Antonio Napolitano.
By: Napolitano, Antonio
.
Contributor(s): IEEE Xplore (Online Service) [distributor.] | Wiley InterScience (Online service) [publisher.].
Material type: 
BookSeries: Wiley - IEEE: Publisher: Oxford : Wiley-Blackwell, 2012Distributor: [Piscataqay, New Jersey] : IEEE Xplore, [2012]Description: 1 PDF (xix, 480 pages).Content type: text Media type: electronic Carrier type: online resourceISBN: 9781118437926; 9781118437919; 1118437918.Subject(s): Signal processing | Spectrum analysis | Cyclostationary waves | Antenna radiation patterns | Bandwidth | Clamps | Convergence | Convolution | Correlation | Delay | Density functional theory | Distribution functions | Doppler effect | Estimation | Fourier series | Fourier transforms | Frequency estimation | Harmonic analysis | Indexes | Joints | Mathematical model | Mobile communication | Probabilistic logic | Random variables | Receivers | Reliability | Sections | Signal analysis | Signal processing | Spectral analysis | Stochastic processes | Time frequency analysis | Time series analysisGenre/Form: Electronic books.Additional physical formats: Print version:: No titleDDC classification: 621.3822 Online resources: Abstract with links to resource Also available in print.Includes bibliographical references and index.
Background -- Generalized Almost-Cyclostationary Processes -- Complements and Proofs on Generalized Almost-Cyclostationary Processes -- Spectrally Correlated Processes -- Complements and Proofs on Spectrally Correlated Processes -- Functional Approach for Signal Analysis -- Applications to Mobile Communications and Radar/Sonar.
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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.
Also available in print.
Mode of access: World Wide Web
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