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 ill dynamical systems. Our results point to an increase of disorder and complexity from fine to coarse particulates.
The Fisher information measure and Shannon entropy for particulate matter measurements
Telesca L;Caggiano R;Lapenna V;Trippetta S;
2008
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 ill dynamical systems. Our results point to an increase of disorder and complexity from fine to coarse particulates.File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
