Generalizations of Cyclostationary Signal Processing : Spectral Analysis and Applications.

Mostrar otras versiones (1)

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 int...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Napolitano, Antonio
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York : Wiley, 2012.
Colección:Wiley - IEEE.
Temas:
Cyclostationary waves.
Signal processing.
Spectrum analysis.
Ondes cyclostationnaires.
Traitement du signal.
Cyclostationary waves
Signal processing
Spectrum analysis
Acceso en línea:Texto completo

MARC

LEADER 00000cam a2200000Mi 4500
001 EBOOKCENTRAL_ocn818862495
003 OCoLC
005 20240329122006.0
006 m o d
007 cr |n|||||||||
008 121117s2012 nyu ob 001 0 eng d
040 |a EBLCP  |b eng  |e pn  |c EBLCP  |d C6I  |d OCLCQ  |d COO  |d DEBSZ  |d OCLCQ  |d MERUC  |d ZCU  |d U3W  |d OCLCO  |d OCLCF  |d OCLCQ  |d OCLCO  |d ICG  |d INT  |d AU@  |d OCLCQ  |d WYU  |d OCLCQ  |d DKC  |d OCLCQ  |d LVT  |d LUN  |d OCLCO  |d OCLCQ  |d OCLCO  |d OCLCL 
019 |a 1151506560  |a 1167550025  |a 1302295045 
020 |a 9781118437902 
020 |a 111843790X 
020 |a 9781118437919 
020 |a 1118437918  |q (E-Book) 
020 |a 9781118437926 
020 |a 1118437926  |q (Online Resource) 
020 |z 9781119973355 
020 0 |a 9781283597074  |q (online) 
020 |a 1283597071 
020 |a 111997335X 
020 |a 9781119973355 
024 3 |a 9781118437926 
024 7 |a 10.1002/9781118437926.  |2 doi 
029 1 |a AU@  |b 000055860093 
029 1 |a DEBBG  |b BV044168190 
029 1 |a DEBSZ  |b 431218498 
035 |a (OCoLC)818862495  |z (OCoLC)1151506560  |z (OCoLC)1167550025  |z (OCoLC)1302295045 
050 4 |a TK5102.9.N37 2012 
082 0 4 |a 621.3822 
049 |a UAMI 
100 1 |a Napolitano, Antonio. 
245 1 0 |a Generalizations of Cyclostationary Signal Processing :  |b Spectral Analysis and Applications. 
260 |a New York :  |b Wiley,  |c 2012. 
300 |a 1 online resource (504 pages). 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Wiley - IEEE 
588 0 |a Print version record. 
520 8 |a 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 Processingaddresses 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. 
504 |a Includes bibliographical references and index. 
505 0 |a Generalizations of Cyclostationary Signal Processing: Spectral Analysis and Applications; Contents; About the Author; Acknowledgements; Preface; List of Abbreviations; 1 Background; 1.1 Second-Order Characterization of Stochastic Processes; 1.1.1 Time-Domain Characterization; 1.1.2 Spectral-Domain Characterization; 1.1.3 Time-Frequency Characterization; 1.1.4 Wide-Sense Stationary Processes; 1.1.5 Evolutionary Spectral Analysis; 1.1.6 Discrete-Time Processes; 1.1.7 Linear Time-Variant Transformations; 1.2 Almost-Periodic Functions; 1.2.1 Uniformly Almost-Periodic Functions. 
505 8 |a 1.2.2 AP Functions in the Sense of Stepanov, Weyl, and Besicovitch1.2.3 Weakly AP Functions in the Sense of Eberlein; 1.2.4 Pseudo AP Functions; 1.2.5 AP Functions in the Sense of Hartman and Ryll-Nardzewski; 1.2.6 AP Functions Defined on Groups and with Values in Banach and Hilbert Spaces; 1.2.7 AP Functions in Probability; 1.2.8 AP Sequences; 1.2.9 AP Sequences in Probability; 1.3 Almost-Cyclostationary Processes; 1.3.1 Second-Order Wide-Sense Statistical Characterization; 1.3.2 Jointly ACS Signals; 1.3.3 LAPTV Systems; 1.3.4 Products of ACS Signals. 
505 8 |a 1.3.5 Cyclic Statistics of Communications Signals1.3.6 Higher-Order Statistics; 1.3.7 Cyclic Statistic Estimators; 1.3.8 Discrete-Time ACS Signals; 1.3.9 Sampling of ACS Signals; 1.3.10 Multirate Processing of Discrete-Time ACS Signals; 1.3.11 Applications; 1.4 Some Properties of Cumulants; 1.4.1 Cumulants and Statistical Independence; 1.4.2 Cumulants of Complex Random Variables and Joint Complex Normality; 2 Generalized Almost-Cyclostationary Processes; 2.1 Introduction; 2.2 Characterization of GACS Stochastic Processes; 2.2.1 Strict-Sense Statistical Characterization. 
505 8 |a 2.2.2 Second-Order Wide-Sense Statistical Characterization2.2.3 Second-Order Spectral Characterization; 2.2.4 Higher-Order Statistics; 2.2.5 Processes with Almost-Periodic Covariance; 2.2.6 Motivations and Examples; 2.3 Linear Time-Variant Filtering of GACS Processes; 2.4 Estimation of the Cyclic Cross-Correlation Function; 2.4.1 The Cyclic Cross-Correlogram; 2.4.2 Mean-Square Consistency of the Cyclic Cross-Correlogram; 2.4.3 Asymptotic Normality of the Cyclic Cross-Correlogram; 2.5 Sampling of GACS Processes; 2.6 Discrete-Time Estimator of the Cyclic Cross-Correlation Function. 
505 8 |a 2.6.1 Discrete-Time Cyclic Cross-Correlogram2.6.2 Asymptotic Results as N → ∞; 2.6.3 Asymptotic Results as N → ∞ and Ts → 0; 2.6.4 Concluding Remarks; 2.7 Numerical Results; 2.7.1 Aliasing in Cycle-Frequency Domain; 2.7.2 Simulation Setup; 2.7.3 Cyclic Correlogram Analysis with Varying N; 2.7.4 Cyclic Correlogram Analysis with Varying N and Ts; 2.7.5 Discussion; 2.7.6 Conjecturing the Nonstationarity Type of the Continuous-Time Signal; 2.7.7 LTI Filtering of GACS Signals; 2.8 Summary; 3 Complements and Proofs on Generalized Almost-Cyclostationary Processes. 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Cyclostationary waves. 
650 0 |a Signal processing. 
650 0 |a Spectrum analysis. 
650 6 |a Ondes cyclostationnaires. 
650 6 |a Traitement du signal. 
650 7 |a Cyclostationary waves  |2 fast 
650 7 |a Signal processing  |2 fast 
650 7 |a Spectrum analysis  |2 fast 
758 |i has work:  |a Generalizations of cyclostationary signal processing (Text)  |1 https://id.oclc.org/worldcat/entity/E39PCGkfp78pr3wTxM6mfHMdcP  |4 https://id.oclc.org/worldcat/ontology/hasWork 
776 0 8 |i Print version:  |a Napolitano, Antonio.  |t Generalizations of Cyclostationary Signal Processing : Spectral Analysis and Applications.  |d New York : Wiley, ©2012  |z 9781119973355 
830 0 |a Wiley - IEEE. 
856 4 0 |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=1021398  |z Texto completo 
938 |a ProQuest Ebook Central  |b EBLB  |n EBL1021398 
994 |a 92  |b IZTAP 

Ejemplares similares