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Springer Natural Time Analysis: Seismic Signals & Complex Systems

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Description

Natural Time Analysis explores a groundbreaking time domain framework developed by Varotsos, Sarlis and Skordas for analysing complex time series data, particularly precursory seismic electric signals and earthquake phenomena. This Springer Praxis book presents both the theoretical foundations and practical applications of natural time analysis, a methodology that reveals hidden dynamical features within complex systems by shifting analysis into a new temporal perspective. The natural time domain approach enables researchers and scientists to reduce uncertainty in data interpretation and extract signal information with greater precision than conventional time domain analysis. By reframing how we understand temporal patterns in seismic activity and other complex systems, this work offers essential insights for geophysicists, environmental scientists and researchers studying natural disasters and earthquake prediction. The framework has proven valuable since its introduction in the early 2000s for identifying patterns that remain obscured in standard temporal analysis, making it an important resource for advanced study in seismic science and complex systems research.

Key Features

Natural Time Analysis covers the theoretical foundation and practical applications of an innovative time domain framework for complex systems analysis and seismic signal interpretation.

The methodology reduces uncertainty and maximises signal information extraction from precursory seismic electric signals and earthquake time series data.

This Springer Praxis publication presents research by leading authors in the field, including P.A. Varotsos, N.V. Sarlis and E.S. Skordas.

The natural time domain approach reveals hidden dynamical features in complex systems that remain undetected through conventional time domain analysis methods.

Product Specifications

Format
paperback
Domain
Amazon UK
Publication Date
27 November 2013
Listed Since
13 September 2013

Barcode

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