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Paper Abstract and Keywords
Presentation 2024-11-13 09:00
Utilization of Signal Similarity in Compressed Sensing -- Realizing Low-power Dissipation Wireless EEG Monitoring Circuit System --
Daisuke Kanemoto, Eichi Takimoto, Tetsuya Hirose (Osaka Univ.) VLD2024-42 ICD2024-60 DC2024-64 RECONF2024-72
Abstract (in Japanese) (See Japanese page) 
(in English) In order to achieve power-saving in sensing integrated circuits, there is a lot of interest in compressed sensing, which can greatly reduce the amount of information handled by the circuit. However, when the signal is not sparse, the accuracy of reconstruction deteriorates, making it difficult to increase the compression ratio. Therefore, we have proposed a new method of compressed sensing that improves the sparsity of the signal by focusing on the similarity of the signal, and enables both high-precision reconstruction and power saving through high compression. In this study, we applied this method to a wireless EEG transmission system and confirmed the effect of reducing the power consumption of the micro-controller mounted on the transmission device while maintaining high reconstruction accuracy.
Keyword (in Japanese) (See Japanese page) 
(in English) Compressed sensing / low-power dissipation / signal similarity / EEG / random undersampling / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 247, VLD2024-42, pp. 89-94, Nov. 2024.
Paper # VLD2024-42 
Date of Issue 2024-11-05 (VLD, ICD, DC, RECONF) 
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 VLD2024-42 ICD2024-60 DC2024-64 RECONF2024-72

Conference Information
Committee VLD DC RECONF ICD IPSJ-SLDM  
Conference Date 2024-11-12 - 2024-11-14 
Place (in Japanese) (See Japanese page) 
Place (in English) COMPAL HALL 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Design Gaia 2024 -New Field of VLSI Design- 
Paper Information
Registration To VLD 
Conference Code 2024-11-VLD-DC-RECONF-ICD-SLDM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Utilization of Signal Similarity in Compressed Sensing 
Sub Title (in English) Realizing Low-power Dissipation Wireless EEG Monitoring Circuit System 
Keyword(1) Compressed sensing  
Keyword(2) low-power dissipation  
Keyword(3) signal similarity  
Keyword(4) EEG  
Keyword(5) random undersampling  
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Keyword(7)  
Keyword(8)  
1st Author's Name Daisuke Kanemoto  
1st Author's Affiliation Osaka University (Osaka Univ.)
2nd Author's Name Eichi Takimoto  
2nd Author's Affiliation Osaka University (Osaka Univ.)
3rd Author's Name Tetsuya Hirose  
3rd Author's Affiliation Osaka University (Osaka Univ.)
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Speaker Author-1 
Date Time 2024-11-13 09:00:00 
Presentation Time 25 minutes 
Registration for VLD 
Paper # VLD2024-42, ICD2024-60, DC2024-64, RECONF2024-72 
Volume (vol) vol.124 
Number (no) no.247(VLD), no.248(ICD), no.249(DC), no.250(RECONF) 
Page pp.89-94 
#Pages 6 
Date of Issue 2024-11-05 (VLD, ICD, DC, RECONF) 

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