Characterization of Dolphin Acoustic Echo-Location Data using a Dynamical Classification Method

DOI10.1142/S0218127498000619zbMath0956.62126OpenAlexW2026089686MaRDI QIDQ4936292

J. B. Kadtke, Michael Kremliovsky, Patrick Moore, Mario Inchiosa

Publication date: 11 March 2001

Published in: International Journal of Bifurcation and Chaos (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0218127498000619

zbMATH Keywords

classificationacoustic pulse trainsdolphins

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Dynamical systems in biology (37N25) Applications of statistics (62P99) Applications of statistics to physics (62P35) Time series analysis of dynamical systems (37M10)

Cites Work

• Classification of highly noisy signals using global dynamical models

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