التفاصيل البيبلوغرافية
| العنوان: |
Using forbidden ordinal patterns to detect determinism in irregularly sampled time series |
| المؤلفون: |
Kulp, C. W., Chobot, J. M., Niskala, B. J., Needhammer, C. J. |
| المصدر: |
Chaos: An Interdisciplinary Journal of Nonlinear Science ; volume 26, issue 2 ; ISSN 1054-1500 1089-7682 |
| بيانات النشر: |
AIP Publishing |
| سنة النشر: |
2016 |
| الوصف: |
It is known that when symbolizing a time series into ordinal patterns using the Bandt–Pompe (BP) methodology, there will be ordinal patterns called forbidden patterns that do not occur in a deterministic series. The existence of forbidden patterns can be used to identify deterministic dynamics. In this paper, the ability to use forbidden patterns to detect determinism in irregularly sampled time series is tested on data generated from a continuous model system. The study is done in three parts. First, the effects of sampling time on the number of forbidden patterns are studied on regularly sampled time series. The next two parts focus on two types of irregular-sampling, missing data and timing jitter. It is shown that forbidden patterns can be used to detect determinism in irregularly sampled time series for low degrees of sampling irregularity (as defined in the paper). In addition, comments are made about the appropriateness of using the BP methodology to symbolize irregularly sampled time series. |
| نوع الوثيقة: |
article in journal/newspaper |
| اللغة: |
English |
| DOI: |
10.1063/1.4941674 |
| DOI: |
10.1063/1.4941674/13283366/023107_1_online.pdf |
| الإتاحة: |
https://doi.org/10.1063/1.4941674Test |
| رقم الانضمام: |
edsbas.E97F776E |
| قاعدة البيانات: |
BASE |
