Author: Mehrdad Mahdyiar
Publisher:
ISBN:
Category : Microseisms
Languages : en
Pages : 548
Book Description
Attenuation Properties of the Petatlan Region, Mexico, and a Local Magnitude Scale for Microearthquakes in this Area
Author: Mehrdad Mahdyiar
Publisher:
ISBN:
Category : Microseisms
Languages : en
Pages : 548
Book Description
Publisher:
ISBN:
Category : Microseisms
Languages : en
Pages : 548
Book Description
Scientific and Technical Aerospace Reports
Seismic Structure, Scaling, Seismic Attenuation, and Gaps, Using Aftershocks from the Major 1979 Petatlan (Ms
Author: Carlos M. Valdés-González
Publisher:
ISBN:
Category :
Languages : en
Pages : 468
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 468
Book Description
American Doctoral Dissertations
Author:
Publisher:
ISBN:
Category : Dissertation abstracts
Languages : en
Pages : 574
Book Description
Publisher:
ISBN:
Category : Dissertation abstracts
Languages : en
Pages : 574
Book Description
A Reference Guide to Latin America and the Caribbean
Author: University Microfilms International
Publisher:
ISBN:
Category : Caribbean Area
Languages : en
Pages : 460
Book Description
Publisher:
ISBN:
Category : Caribbean Area
Languages : en
Pages : 460
Book Description
Physics Briefs
Geological Abstracts
Geophysical Abstracts
Natural Time Analysis: The New View of Time
Author: Panayiotis Varotsos
Publisher: Springer Science & Business Media
ISBN: 3642164498
Category : Nature
Languages : en
Pages : 463
Book Description
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.
Publisher: Springer Science & Business Media
ISBN: 3642164498
Category : Nature
Languages : en
Pages : 463
Book Description
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.
The Parkfield Experiment
Author:
Publisher:
ISBN:
Category : Electronic government information
Languages : en
Pages : 2
Book Description
Publisher:
ISBN:
Category : Electronic government information
Languages : en
Pages : 2
Book Description