Paper Abstract and Keywords |
Presentation |
2022-11-24 10:45
Quantifying the dynamical instability of complex time series based on information entropy Kota Shiozawa, Isao Tokuda (Ritsumeikan Univ.) NLP2022-57 |
Abstract |
(in Japanese) |
(See Japanese page) |
(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) |
(in English) |
Time Series Analysis / Chaos / Lyapunov Exponent / Information Entropy / Permutation Entropy / / / |
Reference Info. |
IEICE Tech. Rep., vol. 122, no. 280, NLP2022-57, pp. 5-8, Nov. 2022. |
Paper # |
NLP2022-57 |
Date of Issue |
2022-11-17 (NLP) |
ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
Download PDF |
NLP2022-57 |
Conference Information |
Committee |
NLP |
Conference Date |
2022-11-24 - 2022-11-25 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
|
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
|
Paper Information |
Registration To |
NLP |
Conference Code |
2022-11-NLP |
Language |
Japanese |
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 |
Keyword(6) |
|
Keyword(7) |
|
Keyword(8) |
|
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.) |
3rd Author's Name |
|
3rd Author's Affiliation |
() |
4th Author's Name |
|
4th Author's Affiliation |
() |
5th Author's Name |
|
5th Author's Affiliation |
() |
6th Author's Name |
|
6th Author's Affiliation |
() |
7th Author's Name |
|
7th Author's Affiliation |
() |
8th Author's Name |
|
8th Author's Affiliation |
() |
9th Author's Name |
|
9th Author's Affiliation |
() |
10th Author's Name |
|
10th Author's Affiliation |
() |
11th Author's Name |
|
11th Author's Affiliation |
() |
12th Author's Name |
|
12th Author's Affiliation |
() |
13th Author's Name |
|
13th Author's Affiliation |
() |
14th Author's Name |
|
14th Author's Affiliation |
() |
15th Author's Name |
|
15th Author's Affiliation |
() |
16th Author's Name |
|
16th Author's Affiliation |
() |
17th Author's Name |
|
17th Author's Affiliation |
() |
18th Author's Name |
|
18th Author's Affiliation |
() |
19th Author's Name |
|
19th Author's Affiliation |
() |
20th Author's Name |
|
20th Author's Affiliation |
() |
Speaker |
Author-1 |
Date Time |
2022-11-24 10:45:00 |
Presentation Time |
25 minutes |
Registration for |
NLP |
Paper # |
NLP2022-57 |
Volume (vol) |
vol.122 |
Number (no) |
no.280 |
Page |
pp.5-8 |
#Pages |
4 |
Date of Issue |
2022-11-17 (NLP) |