@Article{AssireuRVLRRSBZ:2002:ApLaDa,
               author = "Assireu, Arcilan Trevenzoli and Rosa, Reinaldo Roberto and 
                         Vijaykumar, Nandamudi Lankalapalli and Lorenzzetti, Jo{\~a}o 
                         Antonio and Rempel, Erico Luiz and Ramos, Fernando Manuel and 
                         S{\'a}, Leonardo Deane de Abreu and Bolzan, Mauricio Jos{\'e} 
                         Alves and Zanandrea, Ademilson",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and Instituto 
                         de Pesquisa e Desenvolvimento (IP\&D), UNIVAP, Brazil and Centro 
                         T{\'e}cnico Aeroespacial (CTA), S{\~a}o Jos{\'e} dos Campos, 
                         SP, Brazil",
                title = "Gradiente pattern analysis of short nonstationary time series: an 
                         application to lagrangian data from satellite tracked drifters",
              journal = "Physica D: Nonlinear Phenomena",
                 year = "2002",
               volume = "168-169",
                pages = "397--403",
                month = "Aug.",
                 note = "{VII Latin American Workshop on Nonlinear Phenomena} and {Cover 
                         image}",
             keywords = "gradient pattern analysis, nonstationary time series analysis, 
                         turbulence, nonlinear phenomena.",
             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.",
                  doi = "10.1016/S0167-2789(02)00527-4",
                  url = "http://dx.doi.org/10.1016/S0167-2789(02)00527-4",
                 issn = "0167-2789",
                label = "9991",
             language = "en",
           targetfile = "1-s2.0-S0167278902005274-main.pdf",
        urlaccessdate = "08 maio 2024"
}