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Cyclostationary processes and time series : theory, applications, and generalizations /

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 s...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Napolitano, Antonio, 1964- (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London, United Kingdom ; San Diego, CA, United States ; Cambridge, MA, United States ; Kidlington, Oxford, United Kingdom : Academic Press, [2019]
Temas:
Acceso en línea:Texto completo

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100 1 |a Napolitano, Antonio,  |d 1964-  |e author. 
245 1 0 |a Cyclostationary processes and time series :  |b theory, applications, and generalizations /  |c Antonio Napolitano, University of Napoli "Parthenope," Department of Engineering, Napoli, Italy 
264 1 |a London, United Kingdom ;  |a San Diego, CA, United States ;  |a Cambridge, MA, United States ;  |a Kidlington, Oxford, United Kingdom :  |b Academic Press,  |c [2019] 
264 4 |c �2020 
300 |a 1 online resource (xxxv, 590 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references (pages 525-586) and index 
505 0 |a About the Author -- Preface -- Acknowledgement -- List of Abbreviations -- Notation -- Part 1. Cyclostationarity -- Part 2. Generalizations -- Bibliography -- Index 
520 |a 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.  |c publisher  |u https://www.sciencedirect.com/book/9780081027080/cyclostationary-processes-and-time-series#book-description 
545 |a 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. 
588 0 |a Online resource; title from PDF title page (ProQuest Ebook Central, viewed October 14, 2021) 
650 0 |a Signal processing. 
650 0 |a Cyclostationary waves. 
650 6 |a Traitement du signal.  |0 (CaQQLa)201-0032324 
650 6 |a Ondes cyclostationnaires.  |0 (CaQQLa)000283935 
650 7 |a Cyclostationary waves.  |2 fast  |0 (OCoLC)fst00886010 
650 7 |a Signal processing.  |2 fast  |0 (OCoLC)fst01118281 
776 0 8 |i Print version:  |a Napolitano, Antonio, 1964-  |t Cyclostationary processes and time series.  |d London [England] ; San Diego, CA : Academic Press, [2020]  |z 9780081027080  |w (DLC) 2021304038  |w (OCoLC)1246673466 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780081027080  |z Texto completo