This book gathers contributions presented at the 9th Workshop on Cyclostationary Systems and Their Applications, held in Gródek 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 ...
This paper introduces the novel class of modulated cyclostationary processes, a class of non-station...
Cyclostationarity as a feature of signals was extensively studied in last decades. Publications of S...
Lévy processes are the natural continuous-time analogue of random walks and form a rich class of sto...
This book reports on the latest advances in the analysis of non-stationary signals, with special emp...
In the last decade the research in signal analysis was dominated by models that encompass nonstation...
In this paper, a concise survey of the literature on cyclostationarity is presented and includes an ...
Recent developments and applications of cyclostationary signal analysis are reviewed in the companio...
Two philosophically different approaches to the analysis of signals with imperfect cyclostationarity...
This book summarizes the developments in stochastic analysis and estimation. It presents novel appli...
A traditional approach to the analysis of vibration and noise in condition based maintenance of mach...
Abstract Statistically inferred time-warping functions are proposed for transforming data exhibiting...
This book presents essential tools for modelling non-linear time series. The first part of the book ...
This paper derives an asymptotic generalized likelihood ratio test (GLRT) and an asymptotic locally ...
Dynamic processes generating time series are a phenomenon occurring in many events and systems worth...
Promotor: Tomasz Barszcz, Jerome Antoni.Recenzent: Tadeusz Stepinski, Andrzej Grządziela.Niepublikow...
This paper introduces the novel class of modulated cyclostationary processes, a class of non-station...
Cyclostationarity as a feature of signals was extensively studied in last decades. Publications of S...
Lévy processes are the natural continuous-time analogue of random walks and form a rich class of sto...
This book reports on the latest advances in the analysis of non-stationary signals, with special emp...
In the last decade the research in signal analysis was dominated by models that encompass nonstation...
In this paper, a concise survey of the literature on cyclostationarity is presented and includes an ...
Recent developments and applications of cyclostationary signal analysis are reviewed in the companio...
Two philosophically different approaches to the analysis of signals with imperfect cyclostationarity...
This book summarizes the developments in stochastic analysis and estimation. It presents novel appli...
A traditional approach to the analysis of vibration and noise in condition based maintenance of mach...
Abstract Statistically inferred time-warping functions are proposed for transforming data exhibiting...
This book presents essential tools for modelling non-linear time series. The first part of the book ...
This paper derives an asymptotic generalized likelihood ratio test (GLRT) and an asymptotic locally ...
Dynamic processes generating time series are a phenomenon occurring in many events and systems worth...
Promotor: Tomasz Barszcz, Jerome Antoni.Recenzent: Tadeusz Stepinski, Andrzej Grządziela.Niepublikow...
This paper introduces the novel class of modulated cyclostationary processes, a class of non-station...
Cyclostationarity as a feature of signals was extensively studied in last decades. Publications of S...
Lévy processes are the natural continuous-time analogue of random walks and form a rich class of sto...