Complexity-entropy causality plane: a useful approach for distinguishing songs

Nowadays we are often faced with huge databases resulting from the rapid growth of data storage technologies. This is particularly true when dealing with music databases. In this context, it is essential to have techniques and tools able to discriminate properties from these massive sets. In this wo...

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Detalles Bibliográficos
Autores principales:	Ribeiro, Haroldo V., Zunino, Luciano José, Mendes, Renio S., Lenzi, Ervin K.
Formato:	Articulo
Lenguaje:	Inglés
Publicado:	2012
Materias:	Ingeniería Física Complexity measure Music Permutation entropy Time series analysis
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/84122
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

id	I19-R120-10915-84122
record_format	dspace
institution	Universidad Nacional de La Plata
institution_str	I-19
repository_str	R-120
collection	SEDICI (UNLP)
language	Inglés
topic	Ingeniería Física Complexity measure Music Permutation entropy Time series analysis
spellingShingle	Ingeniería Física Complexity measure Music Permutation entropy Time series analysis Ribeiro, Haroldo V. Zunino, Luciano José Mendes, Renio S. Lenzi, Ervin K. Complexity-entropy causality plane: a useful approach for distinguishing songs
topic_facet	Ingeniería Física Complexity measure Music Permutation entropy Time series analysis
description	Nowadays we are often faced with huge databases resulting from the rapid growth of data storage technologies. This is particularly true when dealing with music databases. In this context, it is essential to have techniques and tools able to discriminate properties from these massive sets. In this work, we report on a statistical analysis of more than ten thousand songs aiming to obtain a complexity hierarchy. Our approach is based on the estimation of the permutation entropy combined with an intensive complexity measure, building up the Complexity-entropy causality plane. The results obtained indicate that this representation space is very promising to discriminate songs as well as to allow a relative quantitative comparison among songs. Additionally, we believe that the here-reported method may be applied in practical situations since it is simple, robust and has a fast numerical implementation.
format	Articulo Articulo
author	Ribeiro, Haroldo V. Zunino, Luciano José Mendes, Renio S. Lenzi, Ervin K.
author_facet	Ribeiro, Haroldo V. Zunino, Luciano José Mendes, Renio S. Lenzi, Ervin K.
author_sort	Ribeiro, Haroldo V.
title	Complexity-entropy causality plane: a useful approach for distinguishing songs
title_short	Complexity-entropy causality plane: a useful approach for distinguishing songs
title_full	Complexity-entropy causality plane: a useful approach for distinguishing songs
title_fullStr	Complexity-entropy causality plane: a useful approach for distinguishing songs
title_full_unstemmed	Complexity-entropy causality plane: a useful approach for distinguishing songs
title_sort	complexity-entropy causality plane: a useful approach for distinguishing songs
publishDate	2012
url	http://sedici.unlp.edu.ar/handle/10915/84122
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bdutipo_str	Repositorios
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Complexity-entropy causality plane: a useful approach for distinguishing songs

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