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Embedded Dimension and Time Series Length. Practical Influence on Permutation Entropy and Its Applic...

Embedded Dimension and Time Series Length. Practical Influence on Permutation Entropy and Its Applic...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6f935cb9c1684910970f7384c0c63de5

Embedded Dimension and Time Series Length. Practical Influence on Permutation Entropy and Its Applications

About this item

Full title

Embedded Dimension and Time Series Length. Practical Influence on Permutation Entropy and Its Applications

Publisher

Switzerland: MDPI

Journal title

Entropy (Basel, Switzerland), 2019-04, Vol.21 (4), p.385

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI

More information

Scope and Contents

Contents

Permutation Entropy (PE) is a time series complexity measure commonly used in a variety of contexts, with medicine being the prime example. In its general form, it requires three input parameters for its calculation: time series length
, embedded dimension
, and embedded delay τ . Inappropriate choices of these parameters may potentially lead...

Alternative Titles

Full title

Embedded Dimension and Time Series Length. Practical Influence on Permutation Entropy and Its Applications

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_6f935cb9c1684910970f7384c0c63de5

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6f935cb9c1684910970f7384c0c63de5

Other Identifiers

ISSN

1099-4300

E-ISSN

1099-4300

DOI

10.3390/e21040385

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