| Presentation | 2022-11-24 Quantifying the dynamical instability of complex time series based on information entropy Kota Shiozawa, Isao Tokuda, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Various methods based on information entropy have been proposed to quantify the complexity of time series. One of the most common methods is the permutation entropy proposed by Bandt and Pompe. Their method has been widely used in many fields such as physiology and mechanical engineering. Although the usefulness of information entropy-based methods, it is not straightforward to interpret the obtained results since the relationship between these complexity measures and the dynamical quantities is unclear. In this paper, we extend the existing methods and propose a complexity measure which has a clear link to the dynamical quantities and can be easily interpreted. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Time Series Analysis / Chaos / Lyapunov Exponent / Information Entropy / Permutation Entropy |
| Paper # | NLP2022-57 |
| Date of Issue | 2022-11-17 (NLP) |
| Conference Information | |
| Committee | NLP |
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| Conference Date | 2022/11/24(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Akio Tsuneda(Kumamoto Univ.) |
| Vice Chair | Hiroyuki Torikai(Hosei Univ.) |
| Secretary | Hiroyuki Torikai(Sojo Univ.) |
| Assistant | Yuichi Yokoi(Nagasaki Univ.) / Yoshikazu Yamanaka(Utsunomiya Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Nonlinear Problems |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Quantifying the dynamical instability of complex time series based on information entropy |
| Sub Title (in English) | |
| Keyword(1) | Time Series Analysis |
| Keyword(2) | Chaos |
| Keyword(3) | Lyapunov Exponent |
| Keyword(4) | Information Entropy |
| Keyword(5) | Permutation Entropy |
| 1st Author's Name | Kota Shiozawa |
| 1st Author's Affiliation | Ritsumeikan University(Ritsumeikan Univ.) |
| 2nd Author's Name | Isao Tokuda |
| 2nd Author's Affiliation | Ritsumeikan University(Ritsumeikan Univ.) |
| Date | 2022-11-24 |
| Paper # | NLP2022-57 |
| Volume (vol) | vol.122 |
| Number (no) | NLP-280 |
| Page | pp.pp.5-8(NLP), |
| #Pages | 4 |
| Date of Issue | 2022-11-17 (NLP) |