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Paper Abstract and Keywords
Presentation 2022-06-10 09:25
On Auto-Correlation Properties of Random Numbers Generated by Two Markov Binary Sequences
Shuzo Okuno, Akio Tsuneda (Kumamoto Univ.) NLP2022-13 CCS2022-13
Abstract (in Japanese) (See Japanese page) 
(in English) Markov binary sequences generated by 2-state Markov source are one of typical information sources and they have exponential auto-correlation functions. In Monte-Carlo methods, random numbers with the statistical properties specified for the purpose are necessary to enhance the simulation accuracy. Thus, it is important to design random numbers with various properties for such applications. In this paper, we propose a generation method of a new binary sequence from two Markov binary sequences and investigate its auto-correlation properties.
Keyword (in Japanese) (See Japanese page) 
(in English) Markov source / binary random sequence / auto-correlation function / / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 65, NLP2022-13, pp. 62-65, June 2022.
Paper # NLP2022-13 
Date of Issue 2022-06-02 (NLP, CCS) 
ISSN Online edition: ISSN 2432-6380
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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)
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Conference Information
Committee CCS NLP  
Conference Date 2022-06-09 - 2022-06-10 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To NLP 
Conference Code 2022-06-CCS-NLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) On Auto-Correlation Properties of Random Numbers Generated by Two Markov Binary Sequences 
Sub Title (in English)  
Keyword(1) Markov source  
Keyword(2) binary random sequence  
Keyword(3) auto-correlation function  
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1st Author's Name Shuzo Okuno  
1st Author's Affiliation Kumamoto University (Kumamoto Univ.)
2nd Author's Name Akio Tsuneda  
2nd Author's Affiliation Kumamoto University (Kumamoto Univ.)
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Speaker Author-1 
Date Time 2022-06-10 09:25:00 
Presentation Time 25 minutes 
Registration for NLP 
Paper # NLP2022-13, CCS2022-13 
Volume (vol) vol.122 
Number (no) no.65(NLP), no.66(CCS) 
Page pp.62-65 
#Pages
Date of Issue 2022-06-02 (NLP, CCS) 


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