Using the pointwise dimension to filter time series.

DOI10.1016/S0960-0779(02)00087-5zbMath1040.37070MaRDI QIDQ1419092

Aldo Casaleggio, Angelo Corana

Publication date: 14 January 2004

Published in: Chaos, Solitons and Fractals (Search for Journal in Brave)

zbMATH Keywords

scaling regionstatisticselectrocardiogram signalsidentification of points in the phase spaceLorenz time seriespointwise dimension estimation

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55) Time series analysis of dynamical systems (37M10)

Related Items (1)

Most probable dimension value and most flat interval methods for automatic estimation of dimension from time series

Cites Work

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• Measuring the strangeness of strange attractors
• Embedology
• Estimating correlation dimension from a chaotic time series: When does plateau onset occur?
• A posteriori tests to validate dimension estimates from time series
• Automatic estimation of the correlation dimension for the analysis of electrocardiograms

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