Title of article
Gradient pattern analysis of short nonstationary time series: an application to Lagrangian data from satellite tracked drifters
Author/Authors
Assireu، نويسنده , , A.T. and Rosa، نويسنده , , R.R. and Vijaykumar، نويسنده , , N.L. and Lorenzzetti، نويسنده , , J.A. and Rempel، نويسنده , , E.L. and Ramos، نويسنده , , F.M. and Abreu Sل، نويسنده , , L.D. and Bolzan، نويسنده , , M.J.A. and Zanandrea، نويسنده , , A.، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2002
Pages
7
From page
397
To page
403
Abstract
Based on the gradient pattern analysis (GPA) technique we introduce a new methodology for analyzing short nonstationary time series. Using the asymmetric amplitude fragmentation (AAF) operator from GPA we analyze Lagrangian data observed as velocity time series for ocean flow. The results show that quasi-periodic, chaotic and turbulent regimes can be well characterized by means of this new geometrical approach.
Keywords
Turbulence , Nonstationary time series analysis , nonlinear phenomena , Gradient pattern analysis
Journal title
Physica D Nonlinear Phenomena
Serial Year
2002
Journal title
Physica D Nonlinear Phenomena
Record number
1727444
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