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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34R/42R22GP
Repositorysid.inpe.br/mtc-m21c/2020/07.09.13.02
Last Update2020:12.15.12.55.05 (UTC) administrator
Metadata Repositorysid.inpe.br/mtc-m21c/2020/07.09.13.02.01
Metadata Last Update2022:01.04.01.35.15 (UTC) administrator
DOI10.1063/5.0004719
ISSN1054-1500
Citation KeyMagriniDomiMacaKiss:2020:ExSlFa
TitleExtraction of slow and fast dynamics of multiple time scale systems using wavelet techniques
Year2020
MonthJune
Access Date2024, Apr. 19
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size2055 KiB
2. Context
Author1 Magrini, Luciano Aparecido
2 Domingues, Margarete Oliveira
3 Macau, Elbert Einstein Nehrer
4 Kiss, István Z.
Resume Identifier1
2 8JMKD3MGP5W/3C9JHQP
3 8JMKD3MGP5W/3C9JGUT
Group1 CAP-COMP-SESPG-INPE-MCTIC-GOV-BR
2 LABAC-COCTE-INPE-MCTIC-GOV-BR
3 LABAC-COCTE-INPE-MCTIC-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Saint Louis University
Author e-Mail Address1 magrini@ifsp.edu.br
2 margarete.domingues@inpe.br
3 elbert.macau@unifesp.br
JournalChaos
Volume30
Number6
Pagese063139
Secondary MarkA1_ENGENHARIAS_IV A1_ENGENHARIAS_III A1_ENGENHARIAS_I A2_INTERDISCIPLINAR A2_GEOCIÊNCIAS B1_MEDICINA_VETERINÁRIA B1_MEDICINA_II B1_MATEMÁTICA_/_PROBABILIDADE_E_ESTATÍSTICA B1_ENGENHARIAS_II B1_ASTRONOMIA_/_FÍSICA B2_CIÊNCIA_DA_COMPUTAÇÃO
History (UTC)2020-07-09 13:02:01 :: simone -> administrator ::
2020-07-09 13:02:01 :: administrator -> simone :: 2020
2020-07-09 13:02:20 :: simone -> administrator :: 2020
2022-01-04 01:35:15 :: administrator -> simone :: 2020
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typefinaldraft
AbstractA methodology is presented based on wavelet techniques to approximate fast and slow dynamics present in time-series whose behavior is characterized by different local scales in time. These approximations are useful to understand the global dynamics of the original full systems, especially in experimental situations where all information is contained in a one-dimensional time-series. Wavelet analysis is a natural approach to handle these approximations because each dynamical behavior manifests its specific subset in frequency domain, for example, with two time scales, the slow and fast dynamics, present in low and high frequencies, respectively. The proposed procedure is illustrated by the analysis of a complex experimental time-series of iron electrodissolution where the slow chaotic dynamics is interrupted by fast irregular spiking. The method can be used to first filter the time-series data and then separate the fast and slow dynamics even when clear maxima and/or minima in the corresponding global wavelet spectrum are missing. The results could find applications in the analysis of synchronization of complex systems through multi-scale analysis.
AreaCOMP
Arrangement 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > LABAC > Extraction of slow...
Arrangement 2urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > CAP > Extraction of slow...
doc Directory Contentaccess
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGP3W34R/42R22GP
zipped data URLhttp://urlib.net/zip/8JMKD3MGP3W34R/42R22GP
Languageen
Target Filemagrini_extraction.pdf
User Groupself-uploading-INPE-MCTI-GOV-BR
simone
Visibilityshown
Archiving Policyallowpublisher allowfinaldraft
Read Permissionallow from all
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3ESGTTP
8JMKD3MGPCW/3F2PHGS
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.45.07 1
sid.inpe.br/bibdigital/2013/10.12.22.16 1
DisseminationWEBSCI
Host Collectionurlib.net/www/2017/11.22.19.04
6. Notes
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7. Description control
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