Decomposition of Signals and Information Theory

Autores
Plastino, Ángel Luis; Rebollo Neira, Laura; Zyserman, Fabio Iván
Año de publicación
1992
Idioma
inglés
Tipo de recurso
parte de libro
Estado
versión publicada
Descripción
We discuss a method that is able to determine, with the help of the Maximum Entropy Principle, the detailed nature of a complex signal that can be conceived as a linear superposition of independent, elementary signals. The physical relevance of this decomposition is discussed.
Facultad de Ciencias Exactas
Materia
Física
Maximum Entropy Principle
Complex signal
Decomposition
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/137760

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spelling Decomposition of Signals and Information TheoryPlastino, Ángel LuisRebollo Neira, LauraZyserman, Fabio IvánFísicaMaximum Entropy PrincipleComplex signalDecompositionWe discuss a method that is able to determine, with the help of the Maximum Entropy Principle, the detailed nature of a complex signal that can be conceived as a linear superposition of independent, elementary signals. The physical relevance of this decomposition is discussed.Facultad de Ciencias ExactasSpringer New York1992info:eu-repo/semantics/bookPartinfo:eu-repo/semantics/publishedVersionCapitulo de librohttp://purl.org/coar/resource_type/c_3248info:ar-repo/semantics/parteDeLibroapplication/pdf79-86http://sedici.unlp.edu.ar/handle/10915/137760enginfo:eu-repo/semantics/altIdentifier/isbn/978-1-4615-3352-8info:eu-repo/semantics/altIdentifier/doi/10.1007/978-1-4615-3352-8_8info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-03T11:04:24Zoai:sedici.unlp.edu.ar:10915/137760Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-03 11:04:24.505SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Decomposition of Signals and Information Theory
title Decomposition of Signals and Information Theory
spellingShingle Decomposition of Signals and Information Theory
Plastino, Ángel Luis
Física
Maximum Entropy Principle
Complex signal
Decomposition
title_short Decomposition of Signals and Information Theory
title_full Decomposition of Signals and Information Theory
title_fullStr Decomposition of Signals and Information Theory
title_full_unstemmed Decomposition of Signals and Information Theory
title_sort Decomposition of Signals and Information Theory
dc.creator.none.fl_str_mv Plastino, Ángel Luis
Rebollo Neira, Laura
Zyserman, Fabio Iván
author Plastino, Ángel Luis
author_facet Plastino, Ángel Luis
Rebollo Neira, Laura
Zyserman, Fabio Iván
author_role author
author2 Rebollo Neira, Laura
Zyserman, Fabio Iván
author2_role author
author
dc.subject.none.fl_str_mv Física
Maximum Entropy Principle
Complex signal
Decomposition
topic Física
Maximum Entropy Principle
Complex signal
Decomposition
dc.description.none.fl_txt_mv We discuss a method that is able to determine, with the help of the Maximum Entropy Principle, the detailed nature of a complex signal that can be conceived as a linear superposition of independent, elementary signals. The physical relevance of this decomposition is discussed.
Facultad de Ciencias Exactas
description We discuss a method that is able to determine, with the help of the Maximum Entropy Principle, the detailed nature of a complex signal that can be conceived as a linear superposition of independent, elementary signals. The physical relevance of this decomposition is discussed.
publishDate 1992
dc.date.none.fl_str_mv 1992
dc.type.none.fl_str_mv info:eu-repo/semantics/bookPart
info:eu-repo/semantics/publishedVersion
Capitulo de libro
http://purl.org/coar/resource_type/c_3248
info:ar-repo/semantics/parteDeLibro
format bookPart
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/137760
url http://sedici.unlp.edu.ar/handle/10915/137760
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/978-1-4615-3352-8
info:eu-repo/semantics/altIdentifier/doi/10.1007/978-1-4615-3352-8_8
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
79-86
dc.publisher.none.fl_str_mv Springer New York
publisher.none.fl_str_mv Springer New York
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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