Evaluation of Systems’ Irregularity and Complexity: Sample Entropy, Its Derivatives, and Their Applications across Scales and Disciplines
ca. 200 words; this text will present the book in all promotional forms (e.g. flyers). Please describe the book in straightforward and consumer-friendly terms. [enter Summary/Description] Based on information theory, a number of entropy measures have been proposed since the 1990s to assess systems’...
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| Format: | Online |
| Język: | angielski |
| Wydane: |
MDPI - Multidisciplinary Digital Publishing Institute
2021
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| Hasła przedmiotowe: | |
| Dostęp online: | 29765 |
| Etykiety: |
Nie ma etykietki, Dołącz pierwszą etykiete!
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| _version_ | 1869520335755280384 |
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| author | Anne Humeau-Heurtier (Ed.) |
| author_browse | Anne Humeau-Heurtier (Ed.) |
| author_facet | Anne Humeau-Heurtier (Ed.) |
| author_sort | Anne Humeau-Heurtier (Ed.) |
| collection | Directory of Open Access Books |
| description | ca. 200 words; this text will present the book in all promotional forms (e.g. flyers). Please describe the book in straightforward and consumer-friendly terms. [enter Summary/Description] Based on information theory, a number of entropy measures have been proposed since the 1990s to assess systems’ irregularity, such as approximate entropy, sample entropy, permutation entropy, intrinsic mode entropy, and dispersion entropy, to cite only a few. Among them, sample entropy has been used in a very large variety of disciplines for both univariate and multivariate data. However, improvements to the sample entropy algorithm are still being proposed because sample entropy is unstable for short time series, may be sensitive to parameter values, and can be too time-consuming for long data. At the same time, it is worth noting that sample entropy does not take into account the multiple temporal scales inherent in complex systems. It is maximized for completely random processes and is used only to quantify the irregularity of signals on a single scale. This is why analyses of irregularity—with sample entropy or its derivatives—at multiple time scales have been proposed to assess systems’ complexity. This Book presents contributions related to new and original research based on the use of sample entropy or its derivatives. |
| format | Online |
| id | doab-20.500.12854ir-47098 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-470982024-04-11T15:10:13Z Evaluation of Systems’ Irregularity and Complexity: Sample Entropy, Its Derivatives, and Their Applications across Scales and Disciplines Anne Humeau-Heurtier (Ed.) TA1-2040 complexity entropy measure multiscale entropy sample entropy interdisciplinary applications irregularity fuzzy entropy thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ca. 200 words; this text will present the book in all promotional forms (e.g. flyers). Please describe the book in straightforward and consumer-friendly terms. [enter Summary/Description] Based on information theory, a number of entropy measures have been proposed since the 1990s to assess systems’ irregularity, such as approximate entropy, sample entropy, permutation entropy, intrinsic mode entropy, and dispersion entropy, to cite only a few. Among them, sample entropy has been used in a very large variety of disciplines for both univariate and multivariate data. However, improvements to the sample entropy algorithm are still being proposed because sample entropy is unstable for short time series, may be sensitive to parameter values, and can be too time-consuming for long data. At the same time, it is worth noting that sample entropy does not take into account the multiple temporal scales inherent in complex systems. It is maximized for completely random processes and is used only to quantify the irregularity of signals on a single scale. This is why analyses of irregularity—with sample entropy or its derivatives—at multiple time scales have been proposed to assess systems’ complexity. This Book presents contributions related to new and original research based on the use of sample entropy or its derivatives. 2021-02-11T13:10:05Z 2021-02-11T13:10:05Z 2018-12-10 11:20:37 2018 book 29765 9783038973331 9783038973324 https://directory.doabooks.org/handle/20.500.12854/47098 eng image/jpeg Attribution-NonCommercial-NoDerivatives 4.0 International https://www.mdpi.com/books/pdfview/book/1040 https://play.google.com/books/publish/a/14935057684283403269#details/ISBN:9783038973324 https://www.mdpi.com/books/pdfview/book/1040 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03897-333-1 10.3390/books978-3-03897-333-1 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783038973331 9783038973324 264 open access |
| spellingShingle | TA1-2040 complexity entropy measure multiscale entropy sample entropy interdisciplinary applications irregularity fuzzy entropy thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Anne Humeau-Heurtier (Ed.) Evaluation of Systems’ Irregularity and Complexity: Sample Entropy, Its Derivatives, and Their Applications across Scales and Disciplines |
| title | Evaluation of Systems’ Irregularity and Complexity: Sample Entropy, Its Derivatives, and Their Applications across Scales and Disciplines |
| title_full | Evaluation of Systems’ Irregularity and Complexity: Sample Entropy, Its Derivatives, and Their Applications across Scales and Disciplines |
| title_fullStr | Evaluation of Systems’ Irregularity and Complexity: Sample Entropy, Its Derivatives, and Their Applications across Scales and Disciplines |
| title_full_unstemmed | Evaluation of Systems’ Irregularity and Complexity: Sample Entropy, Its Derivatives, and Their Applications across Scales and Disciplines |
| title_short | Evaluation of Systems’ Irregularity and Complexity: Sample Entropy, Its Derivatives, and Their Applications across Scales and Disciplines |
| title_sort | evaluation of systems irregularity and complexity sample entropy its derivatives and their applications across scales and disciplines |
| topic | TA1-2040 complexity entropy measure multiscale entropy sample entropy interdisciplinary applications irregularity fuzzy entropy thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | TA1-2040 complexity entropy measure multiscale entropy sample entropy interdisciplinary applications irregularity fuzzy entropy thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | 29765 |
| work_keys_str_mv | AT annehumeauheurtiered evaluationofsystemsirregularityandcomplexitysampleentropyitsderivativesandtheirapplicationsacrossscalesanddisciplines |