Academic Journal

Entropy of Difference: A New Tool for Measuring Complexity

التفاصيل البيبلوغرافية
العنوان: Entropy of Difference: A New Tool for Measuring Complexity
المؤلفون: Pasquale Nardone, Giorgio Sonnino
المصدر: Axioms, Vol 13, Iss 2, p 130 (2024)
بيانات النشر: MDPI AG
سنة النشر: 2024
المجموعة: Directory of Open Access Journals: DOAJ Articles
مصطلحات موضوعية: entropy, complexity measure, random signal, Mathematics, QA1-939
الوصف: We propose a new tool for estimating the complexity of a time series: the entropy of difference (ED). The method is based solely on the sign of the difference between neighboring values in a time series. This makes it possible to describe the signal as efficiently as prior proposed parameters, such as permutation entropy (PE) or modified permutation entropy (mPE). Firstly, this method reduces the size of the sample that is necessary to estimate the parameter value, and secondly it enables the use of the Kullback–Leibler divergence to estimate the “distance” between the time series data and random signals.
نوع الوثيقة: article in journal/newspaper
اللغة: English
تدمد: 2075-1680
Relation: https://www.mdpi.com/2075-1680/13/2/130; https://doaj.org/toc/2075-1680; https://doaj.org/article/b92b94688cc643a8b6ec85a1eb2de158
DOI: 10.3390/axioms13020130
الاتاحة: https://doi.org/10.3390/axioms13020130
https://doaj.org/article/b92b94688cc643a8b6ec85a1eb2de158
رقم الانضمام: edsbas.A8251094
قاعدة البيانات: BASE
الوصف
تدمد:20751680
DOI:10.3390/axioms13020130