The Fisher information measure and Shannon entropy for particulate matter measurements

Luciano Telesca, Rosa Caggiano, Vincenzo Lapenna, Michele Lovallo, Serena Trippetta and Maria Macchiato

Physica A: Statistical Mechanics and its Applications, 2008, vol. 387, issue 16, 4387-4392

Abstract: We investigated the dynamics of particulate matter data, recorded in Tito, a small industrial area of southern Italy. The analysis of these signals was performed using the Fisher information measure (FIM), which is a powerful tool for investigating complex and nonstationary signals, and the Shannon entropy, which is a well-known tool for investigating the degree of disorder in dynamical systems. Our results point to an increase of disorder and complexity from fine to coarse particulates.

Keywords: Particulate matter; Fisher information measure; Shannon entropy (search for similar items in EconPapers)
Date: 2008
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:387:y:2008:i:16:p:4387-4392

DOI: 10.1016/j.physa.2008.02.064

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