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Paper Abstract and Keywords
Presentation 2021-01-21 10:05
Extraction of Property for Nonlinear Time Series by Changing Density of Recurrence Plots
Shiki Kanamaru, Nina Sviridova (TUS), Yutaka Shimada (Saitama Univ.), Tohru Ikeguchi (TUS) NLP2020-41
Abstract (in Japanese) (See Japanese page) 
(in English) A recurrence plot is one of the most effective nonlinear time series analysis methods for qualitatively understanding a nonlinear dynamical system.
Furthermore, recurrence quantification analysis methods can be used to quantitatively evaluate the recurrence plot.
In this report, we extract the properties of nonlinear time series from changes in quantification indices obtained by varying plot density on the recurrence plot and its extension methods, iso-directional recurrence plot and iso-directional neighbors plot.
The experimental results suggest that the proposed method can discriminate the properties between deterministic chaotic time series and noisy periodic time series, and that it can also discriminate deterministic chaotic time series and the time series with colored noise such as a fractional Brownian motion.
Keyword (in Japanese) (See Japanese page) 
(in English) Recurrence Plot / Iso-Directional Recurrence Plot / Iso-Directional Neighbors Plot / Density of RP / Recurrence Quantification Analysis / Extraction of Property for Nonlinear Time Series / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 330, NLP2020-41, pp. 7-12, Jan. 2021.
Paper # NLP2020-41 
Date of Issue 2021-01-14 (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 NLP2020-41

Conference Information
Committee NC NLP  
Conference Date 2021-01-21 - 2021-01-22 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) NC，NLP 
Paper Information
Registration To NLP 
Conference Code 2021-01-NC-NLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Extraction of Property for Nonlinear Time Series by Changing Density of Recurrence Plots 
Sub Title (in English)  
Keyword(1) Recurrence Plot  
Keyword(2) Iso-Directional Recurrence Plot  
Keyword(3) Iso-Directional Neighbors Plot  
Keyword(4) Density of RP  
Keyword(5) Recurrence Quantification Analysis  
Keyword(6) Extraction of Property for Nonlinear Time Series  
Keyword(7)  
Keyword(8)  
1st Author's Name Shiki Kanamaru  
1st Author's Affiliation Tokyo University of Science (TUS)
2nd Author's Name Nina Sviridova  
2nd Author's Affiliation Tokyo University of Science (TUS)
3rd Author's Name Yutaka Shimada  
3rd Author's Affiliation Saitama University (Saitama Univ.)
4th Author's Name Tohru Ikeguchi  
4th Author's Affiliation Tokyo University of Science (TUS)
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Speaker Author-1 
Date Time 2021-01-21 10:05:00 
Presentation Time 25 minutes 
Registration for NLP 
Paper # NLP2020-41 
Volume (vol) vol.120 
Number (no) no.330 
Page pp.7-12 
#Pages 6 
Date of Issue 2021-01-14 (NLP) 

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