Mostrar el registro sencillo del ítem
dc.contributor.author
Bishal, Rabindev
dc.contributor.author
Mindlin, Bernardo Gabriel
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.contributor.author
Gupte, Neelima
dc.date.available
2024-06-05T10:45:54Z
dc.date.issued
2022-01
dc.identifier.citation
Bishal, Rabindev; Mindlin, Bernardo Gabriel; Gupte, Neelima; Multifractal analysis of birdsong and its correlation structure; American Physical Society; Physical Review E; 105; 1; 1-2022; 1-22
dc.identifier.issn
2470-0053
dc.identifier.uri
http://hdl.handle.net/11336/237070
dc.description.abstract
The time series recordings of typical songs of songbirds exhibit highly complex and structured behavior, whichis characteristic of their species and stage of development, and need to be analyzed by methods that can uncovertheir correlation structure. Here we analyze a typical song of a canary using Hurst exponents and multifractalanalysis, which uncovers the correlation structure of typical song segments. These are then compared with thecorresponding quantities from shuffled data, which destroys the temporal correlations and iterative amplitude-adjusted Fourier transform (IAAFT) data. It is seen that temporal correlations are responsible for the multifractalbehavior seen in the data and that two-point correlations, which are preserved by the transform, are importantin the high-fluctuation regime. Higher-order correlations and intersyllabic gaps dominate the behavior of thelow-fluctuation regime. These observations are supported by the simplicial characterization of the correspondingtime series networks. Complexity measures are also used to analyze the amplitude envelope time series. Theseindicate that intersyllabic gaps contribute a significant fraction to the complexity of the birdsong. Our methodprovides a detailed characterization of the data, which can enable the comparison of real and synthetic birdsongand comparisons across stages of development and species. A brief comparison with the song of the zebra finchsupports this.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
American Physical Society
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
multifractal
dc.subject
birdsong
dc.subject
time series data analysis
dc.subject.classification
Otras Ciencias Físicas
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.subject.classification
Ciencias Físicas
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.title
Multifractal analysis of birdsong and its correlation structure
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2024-06-05T10:17:10Z
dc.journal.volume
105
dc.journal.number
1
dc.journal.pagination
1-22
dc.journal.pais
Estados Unidos
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.description.fil
Fil: Bishal, Rabindev. No especifíca;
dc.description.fil
Fil: Mindlin, Bernardo Gabriel. Universidad de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Gupte, Neelima. No especifíca;
dc.journal.title
Physical Review E
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1103/PhysRevE.105.014118
Archivos asociados