Biograph: Antonio Napolitano (M’95–SM’07–F’16) was born in Napoli, Italy, in 1964. He received the Ph.D. degree in electronic engineering and computer science from the University of Napoli Federico II, Naples, Italy, in 1994. In 1997, he was with the Department of Electrical and Computer Engineering, University of California, Davis, CA, USA, as a Postdoctorate Research Associate. From 1995 to 2001 he has been Assistant Professor and from 2001 to 2005 Associate Professor at the University of Napoli Federico II. Since 2005, he is a Full Professor in telecommunications at the University of Napoli “Parthenope.” In 2005, he was a Visiting Professor at the Institute de Recherche Mathematique de Rennes, Haute Bretagne, France. In 2010 and 2013, he was a Visiting Professor at the Laboratoire d’Analyse des Signaux & des Processus Industriels, Universite Jean-Monnet, Roanne, France. In 2014 and 2015, he was a Visiting Professor at Ecole Nationale Superieure d’Electronique, d’Electrotechnique, d’Informatique et d’Hydraulique et Telecommunications, Toulouse, France. He held visiting appointments at the Universite de Nice—Sophia Antipolis, France (1994); the University of North Carolina, Chapel Hill, NC, USA (1997, 2001, 2002); the Technical University of Wroclaw, Poland (1999, 2001); the Centro de Investigacion en Matematicas, Guanajuato, Mexico (2000–2002); Econometric Department, Wyzsza Szkola Biznesu, Nowy Sacz, Poland (2000–2007); the School of Electrical and Information Engineering, University of South Australia (2010).  He is the author of the books Generalizations of Cyclostationary Signal Processing: Spectral Analysis and Applications (Wiley-IEEE Press, 2012) and Cyclostationary Processes and Time Series: Theory, Applications, and Generalizations, Elsevier, 2019. In 1996, 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, he received the EURASIP Best Paper Award for a paper on the functional approach in signal analysis. In 2008, he received the Most Cited Paper Award for a review article on cyclostationarity from Elsevier. From 2006 to 2009 and from 2011 to 2015, he has been an Associate Editor of the IEEE Transactions on Signal Processing.  He is on the Editorial Board of Signal Processing (Elsevier) since 2008 and Digital Signal Processing (Elsevier) since 2015. From 2008 to 2013, he has been an Elected Member of the Signal Processing Theory and Method Technical Committee of the IEEE Signal Processing Society. Since 2017, he has been an Elected Member of the Sensor Array and Multichannel Technical Committee of the IEEE Signal Processing Society. He is EURASIP Local Liaison Officer.

Home page: http://sites.google.com/site/antnapol 

Title:Cyclostationarity and Generalizations: An Ubiquitous Statistical Model for Science Data

Abstract: Cyclostationary signals and their generalizations are a suitable model for data originated by many processes arising from the interaction/combination of periodic phenomena and random phenomena. Examples come from many fields including communications, radar/sonar, telemetry, mechanics, biology, astronomy, and econometrics. Statistical characterization and applications of cyclostationary signals and their generalizations are reviewed. In particular, the problems of statistical function measurements, filtering, uniform sampling, parameter estimation, and signal detection are addressed. A link with other nonstationarity models is discussed.