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Complexity–entropy causality plane: A useful approach for distinguishing songs

Haroldo V. Ribeiro, Luciano Zunino, Renio S. Mendes and Ervin K. Lenzi

Physica A: Statistical Mechanics and its Applications, 2012, vol. 391, issue 7, 2421-2428

Abstract: 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.

Keywords: Permutation entropy; Music; Complexity measure; Time series analysis (search for similar items in EconPapers)
Date: 2012
References: View complete reference list from CitEc
Citations: View citations in EconPapers (17)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:391:y:2012:i:7:p:2421-2428

DOI: 10.1016/j.physa.2011.12.009

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