Cyclostationarity: Theory and Methods III : Contributions to the 9th Workshop on Cyclostationary Systems and Their Applications, Grodek, Poland, 2016 /

This book gathers contributions presented at the 9th Workshop on Cyclostationary Systems and Their Applications, held in Gr dek nad Dunajcem, Poland in February 2016. It includes both theory-oriented and practice-oriented chapters. The former focus on heavy-tailed time series and processes, PAR mode...

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Bibliographic Details
Corporate Authors: SpringerLink (Online service)
Group Author: Chaari, Fakher (Editor); Leskow, Jacek (Editor); Napolitano, Antonio (Editor); Zimroz, Radoslaw (Editor); Wylomanska, Agnieszka (Editor)
Published: Springer International Publishing : Imprint: Springer,
Publisher Address: Cham :
Publication Dates: 2017.
Literature type: eBook
Language: English
Series: Applied Condition Monitoring, 6
Subjects:
Online Access: http://dx.doi.org/10.1007/978-3-319-51445-1
Summary: This book gathers contributions presented at the 9th Workshop on Cyclostationary Systems and Their Applications, held in Gr dek nad Dunajcem, Poland in February 2016. It includes both theory-oriented and practice-oriented chapters. The former focus on heavy-tailed time series and processes, PAR models, rational spectra for PARMA processes, covariance invariant analysis, change point problems, and subsampling for time series, as well as the fraction-of-time approach, GARMA models and weak dependence. In turn, the latter report on case studies of various mechanical systems, and on stochastic and statistical methods, especially in the context of damage detection. The book provides students, researchers and professionals with a timely guide to cyclostationary systems, nonstationary processes and relevant engineering applications.
Carrier Form: 1 online resource (VIII, 257 pages) : illustrations.
ISBN: 9783319514451
Index Number: TA213
CLC: TH11
Contents: From the content: Weak Dependence: An Introduction Through Asymmetric ARCH Models -- Subsampling for Non Stationary Time Series With Long Memory and Heavy Tails Using Weak Dependence Condition -- Change Point Problem in the Fraction of Time Approach.