Cyclostationarity: Theory and Methods III (inbunden)
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Format
Inbunden (Hardback)
Språk
Engelska
Antal sidor
257
Utgivningsdatum
2017-02-26
Upplaga
1st ed. 2017
Förlag
Springer International Publishing AG
Medarbetare
Chaari, Fakher (ed.), Leskow, Jacek (ed.), Napolitano, Antonio (ed.), Zimroz, Radoslaw (ed.), Wylomanska, Agnieszka (ed.)
Illustratör/Fotograf
Bibliographie
Illustrationer
97 Illustrations, color; 18 Illustrations, black and white; VIII, 257 p. 115 illus., 97 illus. in co
Dimensioner
234 x 156 x 16 mm
Vikt
554 g
Antal komponenter
1
Komponenter
1 Hardback
ISBN
9783319514444

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Cyclostationarity: Theory and Methods III (inbunden)

Cyclostationarity: Theory and Methods III

Contributions to the 9th Workshop on Cyclostationary Systems and Their Applications, Grodek, Poland, 2016

av Fakher Chaari, Jacek Leskow, Antonio Napolitano, Radoslaw Zimroz, Agnieszka Wylomanska
Inbunden Engelska, 2017-02-26
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This book gathers contributions presented at the 9th Workshop on Cyclostationary Systems and Their Applications, held in Grodek 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.
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Fakher Chaari, Jacek Leskow, Antonio Napolitano, Radoslaw Zimroz, Agnieszka Wylomanska

Innehållsförteckning

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.