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Paper Abstract and Keywords
Presentation 2022-01-20 10:30
Signature Code Designed by Binarized Neural Networks
Lantian Wei, Shan Lu, Hiroshi Kamabe (Gifu Univ.) IT2021-34 SIP2021-42 RCS2021-202
Abstract (in Japanese) (See Japanese page) 
(in English) In multi-user communication systems, user identification and channel estimation scheme depending on signature code are interesting to many researchers.
In previous works, to improve the performance of the signature code, various high-performance decoding methods have been proposed.
These studies mostly use a randomly generated signature matrix.
The performance of the signature code is largely dependent on the signature matrix.
In this study, we use binarized neural networks with an autoencoder structure to generate the binary signature matrix.
Our simulation results show that the performance of the signature matrix generated by the neural networks is better than that of the signature matrix generated randomly, and the neural networks generated matrix is suitable for various existing decoding methods.
Finally, we discuss the reason why the performance of the matrix has improved.
Keyword (in Japanese) (See Japanese page) 
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Reference Info. IEICE Tech. Rep., vol. 121, no. 327, IT2021-34, pp. 34-39, Jan. 2022.
Paper # IT2021-34 
Date of Issue 2022-01-13 (IT, SIP, RCS) 
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 IT2021-34 SIP2021-42 RCS2021-202

Conference Information
Committee RCS SIP IT  
Conference Date 2022-01-20 - 2022-01-21 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IT 
Conference Code 2022-01-RCS-SIP-IT 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Signature Code Designed by Binarized Neural Networks 
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1st Author's Name Lantian Wei  
1st Author's Affiliation Gifu University (Gifu Univ.)
2nd Author's Name Shan Lu  
2nd Author's Affiliation Gifu University (Gifu Univ.)
3rd Author's Name Hiroshi Kamabe  
3rd Author's Affiliation Gifu University (Gifu Univ.)
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Speaker Author-1 
Date Time 2022-01-20 10:30:00 
Presentation Time 25 minutes 
Registration for IT 
Paper # IT2021-34, SIP2021-42, RCS2021-202 
Volume (vol) vol.121 
Number (no) no.327(IT), no.328(SIP), no.329(RCS) 
Page pp.34-39 
#Pages 6 
Date of Issue 2022-01-13 (IT, SIP, RCS) 

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