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Titlebook: Cyclostationarity: Theory and Methods - II; Contributions to the Fakher Chaari,Jacek Leskow,Anna Dudek Conference proceedings 2015 The Edit

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發(fā)表于 2025-3-21 19:05:26 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Cyclostationarity: Theory and Methods - II
副標(biāo)題Contributions to the
編輯Fakher Chaari,Jacek Leskow,Anna Dudek
視頻videohttp://file.papertrans.cn/243/242567/242567.mp4
概述Offers a practice-oriented guide to the analysis of datasets with non-stationary behavior.Bridges the gap between basic and applied research on cyclostationary processes.Includes detailed descriptions
叢書名稱Applied Condition Monitoring
圖書封面Titlebook: Cyclostationarity: Theory and Methods - II; Contributions to the Fakher Chaari,Jacek Leskow,Anna Dudek Conference proceedings 2015 The Edit
描述.This book reports on the latest advances in the analysis of non-stationary signals, with special emphasis on cyclostationary systems. It includes cutting-edge contributions presented at the 7th Workshop on “Cyclostationary Systems and Their Applications,” which was held in Gródek nad Dunajcem, Poland, in February 2014. The book covers both the theoretical properties of cyclostationary models and processes, including estimation problems for systems exhibiting cyclostationary properties, and several applications of cyclostationary systems, including case studies on gears and bearings, and methods for implementing cyclostationary processes for damage assessment in condition-based maintenance operations. It addresses the needs of students, researchers and professionals in the broad fields of engineering, mathematics and physics, with a special focus on those studying or working with nonstationary and/or cyclostationary processes..?.
出版日期Conference proceedings 2015
關(guān)鍵詞Almost Periodically Correlated (APC) Time series; Cyclostationary Time Series; Damage Assessment; Nonst
版次1
doihttps://doi.org/10.1007/978-3-319-16330-7
isbn_softcover978-3-319-36201-4
isbn_ebook978-3-319-16330-7Series ISSN 2363-698X Series E-ISSN 2363-6998
issn_series 2363-698X
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 22:36:47 | 只看該作者
https://doi.org/10.1007/978-94-017-6312-71 (PAR(1)) time series . when the innovation . is strongly mixing. More precisely . is a periodic sequence of real numbers with period . and such that .. The time series . is periodically distributed with the same period . and satisfies the strong mixing property, so the random variables . can be correlated.
板凳
發(fā)表于 2025-3-22 04:25:55 | 只看該作者
Fakher Chaari,Jacek Leskow,Anna DudekOffers a practice-oriented guide to the analysis of datasets with non-stationary behavior.Bridges the gap between basic and applied research on cyclostationary processes.Includes detailed descriptions
地板
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https://doi.org/10.1057/9780230286788rap method, its consistency result in the considered problem and the construction of the percentile equal-tailed bootstrap confidence intervals are recalled. The simulation study is performed to calculate the actual coverage probabilities for the various examples of the APC time series. The differen
6#
發(fā)表于 2025-3-22 15:03:00 | 只看該作者
https://doi.org/10.1057/9780230286788 and . are continuous periodic in . with the same period ., . is positive, . is a Brownian motion and . is an unknown parameter, .. First, we study this estimation from a continuous time process observed throughout the interval .. Using the maximum likelihood method we build an estimator . of . and
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發(fā)表于 2025-3-22 20:57:32 | 只看該作者
Anglo-Irish Modernism and the Maternalent AE activity formed by bursts that repeat in an apparently periodic way. However, the produced signal is actually not periodic, but rather pure cyclostationary at the second order. Since AE are typically measured on the bearing housing, there is high attenuation of the waves, because of the dry m
8#
發(fā)表于 2025-3-22 22:13:15 | 只看該作者
Anglo-Irish Modernism and the Maternal variations of geophysical phenomena investigation are presented. Properties of estimators for mean function, covariance function, spectral density and their Fourier coefficients, calculated for series of natural phenomena on the basis of observation data, are described. The approach to building the
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