Bandt-Pompe symbolization dynamics for time series with tied values: A data-driven approach-Reference-Cited by-同舟云学术

Bandt-Pompe symbolization dynamics for time series with tied values: A data-driven approach

Published:2018-07 Issue:7 Volume:28 Page:075502
ISSN:1054-1500
Container-title:Chaos: An Interdisciplinary Journal of Nonlinear Science
language:en
Short-container-title:Chaos

Author:

Traversaro Francisco¹,Redelico Francisco O.²³,Risk Marcelo R.⁴⁵,Frery Alejandro C.⁶^ORCID,Rosso Osvaldo A.²⁷⁸^ORCID

Affiliation:

1. Grupo de Investigación en Sistemas de Información, Universidad Nacional de Lanús & CONICET Lanús, 29 de Septiembre 3901, Buenos Aires B1826GLC, Argentina

2. Departamento de Informática en Salud, Hospital Italiano de Buenos Aires & CONICET, Ciudad Autónoma de Buenos Aires C1199ABB, Argentina

3. Departamento de Ciencia y Tecnología, Universidad Nacional de Quilmes, Roque Sáenz Peña 352, Bernal, Buenos Aires B1876BXD, Argentina

4. Instituto Tecnólgico de Buenos Aires (ITBA) & CONICET, Av. Eduardo Madero 399, Ciudad Autónoma de Buenos Aires C1181ACH, Argentina

5. Departamento de Informática en Salud, Hospital Italiano de Buenos Aires, Ciudad Autónoma de Buenos Aires C1199ABB, Argentina

6. Laboratório de Computação Científica e Análise Numérica, Universidade Federal de Alagoas, Av. Lourival Melo Mota, s/n, Maceió, Alagoas 57072-970, Brazil

7. Universidade Federal de Alagoas, Instituto de Física, Av. Lourival Melo Mota, s/n, Maceió, Alagoas 57072-970, Brazil

8. Complex Systems Group, Facultad de Ingeniería y Ciencias Aplicadas, Universidad de los Andes, Las Condes, Santiago 12455, Chile

Publisher

AIP Publishing

Subject

Applied Mathematics,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics

Link

http://aip.scitation.org/doi/pdf/10.1063/1.5022021

Reference66 articles.

1. Permutation Entropy: A Natural Complexity Measure for Time Series

2. Distinguishing Noise from Chaos

3. Detecting dynamical changes in time series using the permutation entropy

4. Ordinal time series analysis

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