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Paper Abstract and Keywords
Presentation 2020-11-18 11:15
CNN using Deep Residual Learning for Modulation Classification
Teruji Ide (NIT, Kagoshima College), Rozeha A. Rashid, Leon Chin, M A Sarijari, Rubita Sudirman (UTM) SR2020-25
Abstract (in Japanese) (See Japanese page) 
(in English) In this study, we investigate and present a deep residual learning for modulation classification. The simulation results show the degradation problem that was exposed due to an increase in network depth and the saturation of accuracy in the modified conventional CNN; however, the proposed CNN has no such degradation. Therefore, the processing burden of the conventional CNN is much larger than the proposed CNN. In the simulation results, the proposed CNN framework achieves almost the same modulation classification accuracy as the normal CNN framework when reducing the processing burden in the proposed one.
Keyword (in Japanese) (See Japanese page) 
(in English) CNN / cognitive radio / residual learning / modulation classification / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 238, SR2020-25, pp. 17-21, Nov. 2020.
Paper # SR2020-25 
Date of Issue 2020-11-11 (SR) 
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 SR2020-25

Conference Information
Committee SR  
Conference Date 2020-11-18 - 2020-11-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Software Radio, Cognitive Radio, Spectrum Sharing, etc. 
Paper Information
Registration To SR 
Conference Code 2020-11-SR 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) CNN using Deep Residual Learning for Modulation Classification 
Sub Title (in English)  
Keyword(1) CNN  
Keyword(2) cognitive radio  
Keyword(3) residual learning  
Keyword(4) modulation classification  
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1st Author's Name Teruji Ide  
1st Author's Affiliation National Institute of Technology, Kagoshima College (NIT, Kagoshima College)
2nd Author's Name Rozeha A. Rashid  
2nd Author's Affiliation Universiti Teknologi Malaysia (UTM)
3rd Author's Name Leon Chin  
3rd Author's Affiliation Universiti Teknologi Malaysia (UTM)
4th Author's Name M A Sarijari  
4th Author's Affiliation Universiti Teknologi Malaysia (UTM)
5th Author's Name Rubita Sudirman  
5th Author's Affiliation Universiti Teknologi Malaysia (UTM)
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Speaker Author-1 
Date Time 2020-11-18 11:15:00 
Presentation Time 25 minutes 
Registration for SR 
Paper # SR2020-25 
Volume (vol) vol.120 
Number (no) no.238 
Page pp.17-21 
#Pages 5 
Date of Issue 2020-11-11 (SR) 

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