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Cited by 328

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Information and entropy in strange attractors

Fraser, A.M.·1989·IEEE Transactions on Information Theory
DOI 10.1109/18.32121
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Abstract

A technique for analyzing time-series data from experiments is presented that provides estimates of four basic characteristics of a system: (1) the measure-theoretic entropy; (2) the accuracy of the measurements; (3) the number of measurements necessary to specify a system state; and (4) the best delay time T to use in order to construct phase space portraits by the method of delays. These characteristics are obtained by separating the entropy of measurements into a part due to noise and parts due to deterministic effects. For the technique to work, the noise associated with each measurement must be independent of the noise associated with all other measurements. An algorithm for implementing the analysis is presented with three examples.>

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Metadata

Authors
Fraser, A. M.
Venue
IEEE Transactions on Information Theory
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
1989-03
Volume
35
Issue
2
Pages
245-262
ISSN
0018-9448 (ISSN-L)
DOI
10.1109/18.32121
OpenAlex
W1971046812
Cited by
328
References
1
FWCI
9.50
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Information and entropy in strange attractors. https://app.cochat.ai/papers/10.1109/18.32121
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Fraser, A. M. (1989). Information and entropy in strange attractors. IEEE Transactions on Information Theory. https://doi.org/10.1109/18.32121

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.