Decomposition of Signals and Information Theory

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.

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Detalles Bibliográficos
Autores principales: Plastino, Ángel Luis, Rebollo Neira, Laura, Zyserman, Fabio Iván
Formato: Libro Capitulo de libro
Lenguaje:Inglés
Publicado: Springer New York 1992
Materias:
Física
Maximum Entropy Principle
Complex signal
Decomposition
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/137760
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-137760
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Física
Maximum Entropy Principle
Complex signal
Decomposition
spellingShingle Física
Maximum Entropy Principle
Complex signal
Decomposition
Plastino, Ángel Luis
Rebollo Neira, Laura
Zyserman, Fabio Iván
Decomposition of Signals and Information Theory
topic_facet Física
Maximum Entropy Principle
Complex signal
Decomposition
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.
format Libro
Capitulo de libro
author Plastino, Ángel Luis
Rebollo Neira, Laura
Zyserman, Fabio Iván
author_facet Plastino, Ángel Luis
Rebollo Neira, Laura
Zyserman, Fabio Iván
author_sort Plastino, Ángel Luis
title Decomposition of Signals and Information Theory
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
publisher Springer New York
publishDate 1992
url http://sedici.unlp.edu.ar/handle/10915/137760
work_keys_str_mv AT plastinoangelluis decompositionofsignalsandinformationtheory
AT rebolloneiralaura decompositionofsignalsandinformationtheory
AT zysermanfabioivan decompositionofsignalsandinformationtheory
bdutipo_str Repositorios
_version_ 1764820457464266752

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