| Paper Abstract and Keywords |
| Presentation |
2018-08-09 11:10
Inferring the largest Lyapunov exponent from the symbolic dynamics of chaotic time series Takaya Miyano, Kazuki Kajita (Ritsumeikan Univ.), Hiroshi Gotoda (TUS) NLP2018-68 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
In existing methods for estimating the largest Lyapunov exponent from a time series, the rate of increment in the distance between initially neighboring trajectories reconstructed in embedding space from the series is used to estimate the exponent. In this study, we show an alternative method for estimating a surrogate measure for the largest Lyapunov exponent from the symbolic dynamics transformed from a time series without tracing neighboring trajectories in embedding space. The validity of the method is examined through numerical experiments. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
time series / Lyapunov exponent / symbolic dynamics / information entropy / randomly transitional oscillations / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 118, no. 174, NLP2018-68, pp. 81-85, Aug. 2018. |
| Paper # |
NLP2018-68 |
| Date of Issue |
2018-08-01 (NLP) |
| ISSN |
Print edition: ISSN 0913-5685 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 |
NLP2018-68 |
| Conference Information |
| Committee |
NLP |
| Conference Date |
2018-08-08 - 2018-08-09 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Saiwai-cho Campus, Kagawa Univ. |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
etc. |
| Paper Information |
| Registration To |
NLP |
| Conference Code |
2018-08-NLP |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Inferring the largest Lyapunov exponent from the symbolic dynamics of chaotic time series |
| Sub Title (in English) |
|
| Keyword(1) |
time series |
| Keyword(2) |
Lyapunov exponent |
| Keyword(3) |
symbolic dynamics |
| Keyword(4) |
information entropy |
| Keyword(5) |
randomly transitional oscillations |
| Keyword(6) |
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| Keyword(7) |
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| 1st Author's Name |
Takaya Miyano |
| 1st Author's Affiliation |
Ritsuemiakn University (Ritsumeikan Univ.) |
| 2nd Author's Name |
Kazuki Kajita |
| 2nd Author's Affiliation |
Ritsuemiakn University (Ritsumeikan Univ.) |
| 3rd Author's Name |
Hiroshi Gotoda |
| 3rd Author's Affiliation |
Tokyo University of Science (TUS) |
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| Speaker |
Author-1 |
| Date Time |
2018-08-09 11:10:00 |
| Presentation Time |
25 minutes |
| Registration for |
NLP |
| Paper # |
NLP2018-68 |
| Volume (vol) |
vol.118 |
| Number (no) |
no.174 |
| Page |
pp.81-85 |
| #Pages |
5 |
| Date of Issue |
2018-08-01 (NLP) |