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Natural Time Analysis: The New View of Time - Precursory Seismic Electric Signals, Earthquakes and other Complex Time Series (Hardcover, 2011 ed.)
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Natural Time Analysis: The New View of Time - Precursory Seismic Electric Signals, Earthquakes and other Complex Time Series (Hardcover, 2011 ed.)
Series: Geophysical Sciences
Expected to ship within 10 - 15 working days
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This book deals with the theory and the applications of a new time
domain, termed natural time domain, that has been forwarded by the
authors almost a decade ago (P.A. Varotsos, N.V. Sarlis and E.S.
Skordas, Practica of Athens Academy 76, 294-321, 2001; Physical
Review E 66, 011902, 2002). In particular, it has been found that
novel dynamical features hidden behind time series in complex
systems can emerge upon analyzing them in this new time domain,
which conforms to the desire to reduce uncertainty and extract
signal information as much as possible. The analysis in natural
time enables the study of the dynamical evolution of a complex
system and identifies when the system enters a critical stage.
Hence, natural time plays a key role in predicting impending
catastrophic events in general. Relevant examples of data analysis
in this new time domain have been published during the last decade
in a large variety of fields, e.g., Earth Sciences, Biology and
Physics. The book explains in detail a series of such examples
including the identification of the sudden cardiac death risk in
Cardiology, the recognition of electric signals that precede
earthquakes, the determination of the time of an impending major
mainshock in Seismology, and the analysis of the avalanches of the
penetration of magnetic flux into thin films of type II
superconductors in Condensed Matter Physics. In general, this book
is concerned with the time-series analysis of signals emitted from
complex systems by means of the new time domain and provides
advanced students and research workers in diverse fields with a
sound grounding in the fundamentals of current research work on
detecting (long-range) correlations in complex time series.
Furthermore, the modern techniques of Statistical Physics in time
series analysis, for example Hurst analysis, the detrended
fluctuation analysis, the wavelet transform etc., are presented
along with their advantages when natural time domain is employed.
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