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Paper Abstract and Keywords
Presentation 2011-01-27 13:00
Processing burden reduction of a large-scale data compression by employing averaged compressed sensing
Doohwan Lee, Takayuki Yamada, Hiroyuki Shiba, Yo Yamaguchi, Kazuhiro Uehara (NTT) SR2010-69
Abstract (in Japanese) (See Japanese page) 
(in English) Compressed sensing has been drawn much attention during last few years as an eminent solution for ill-posed inverse problem. However, compressed sensing is inherently vulnerable for the large-scale data process due to its time-consuming reconstruction process. Therefore, this paper pursues a solution to solve the scalability problem in compressed sensing. This paper proposes an averaged compressed sensing method which reduces the signal processing burden in dealing with large-scale data as follows: First, large-scale data which is sampled over Nyquist rate is divided into multiple groups. Then, conventional measurement is conducted for each group with identical measurement matrix. Second, multiple measurements data is averaged. Alternatively, the averaging process can be conducted prior to the measurement process. Experiments verify the practical validity of the proposed method.
Keyword (in Japanese) (See Japanese page) 
(in English) compressed sensing / Flexible wireless system / cognitive radio / L1-norm minimization / / / /  
Reference Info. IEICE Tech. Rep., vol. 110, no. 398, SR2010-69, pp. 1-6, Jan. 2011.
Paper # SR2010-69 
Date of Issue 2011-01-20 (SR) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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. (No. 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee SR  
Conference Date 2011-01-27 - 2011-01-28 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyushu Institute of Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Cognitive Radio Network, Cross Layer, etc. 
Paper Information
Registration To SR 
Conference Code 2011-01-SR 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Processing burden reduction of a large-scale data compression by employing averaged compressed sensing 
Sub Title (in English)  
Keyword(1) compressed sensing  
Keyword(2) Flexible wireless system  
Keyword(3) cognitive radio  
Keyword(4) L1-norm minimization  
1st Author's Name Doohwan Lee  
1st Author's Affiliation NTT Network Innovation Laboratories (NTT)
2nd Author's Name Takayuki Yamada  
2nd Author's Affiliation NTT Network Innovation Laboratories (NTT)
3rd Author's Name Hiroyuki Shiba  
3rd Author's Affiliation NTT Network Innovation Laboratories (NTT)
4th Author's Name Yo Yamaguchi  
4th Author's Affiliation NTT Network Innovation Laboratories (NTT)
5th Author's Name Kazuhiro Uehara  
5th Author's Affiliation NTT Network Innovation Laboratories (NTT)
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Date Time 2011-01-27 13:00:00 
Presentation Time 25 
Registration for SR 
Paper # IEICE-SR2010-69 
Volume (vol) IEICE-110 
Number (no) no.398 
Page pp.1-6 
#Pages IEICE-6 
Date of Issue IEICE-SR-2011-01-20 

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