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Paper Abstract and Keywords
Presentation 2014-01-23 17:10
[Invited Talk] Compressed Sensing and its Applications in Communications
Kazunori Hayashi (Kyoto Univ.) SIP2013-109 RCS2013-279
Abstract (in Japanese) (See Japanese page) 
(in English) Linear simultaneous equations based on linear measurements have `a true solution', however, it is not possible to uniquely determine the true solution from the linear equations if the number of equations is less than that of unknowns in general. Compressed sensing is a theoretical framework to obtain the true solution from the underdetermined linear systems when we have a prior information that the solution is sparse. In this paper, we firstly review the linear equations as ill-posed inverse problems. Then, we introduce problems settings and basic ideas of compressed sensing. Finally, we introduce some applications of compressed sensing to communications systems.
Keyword (in Japanese) (See Japanese page) 
(in English) Compressed Sensing / Linear Measurements / Linear Simultaneous Equations / Sparsity / $ell_1$-norm / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 386, RCS2013-279, pp. 139-144, Jan. 2014.
Paper # RCS2013-279 
Date of Issue 2014-01-16 (SIP, RCS) 
ISSN Print edition: ISSN 0913-5685    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 SIP2013-109 RCS2013-279

Conference Information
Committee RCS SIP  
Conference Date 2014-01-23 - 2014-01-24 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyushu Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Signal Processing for Wireless Systems, etc. 
Paper Information
Registration To RCS 
Conference Code 2014-01-RCS-SIP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Compressed Sensing and its Applications in Communications 
Sub Title (in English)  
Keyword(1) Compressed Sensing  
Keyword(2) Linear Measurements  
Keyword(3) Linear Simultaneous Equations  
Keyword(4) Sparsity  
Keyword(5) $ell_1$-norm  
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1st Author's Name Kazunori Hayashi  
1st Author's Affiliation Kyoto University (Kyoto Univ.)
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Speaker Author-1 
Date Time 2014-01-23 17:10:00 
Presentation Time 50 minutes 
Registration for RCS 
Paper # SIP2013-109, RCS2013-279 
Volume (vol) vol.113 
Number (no) no.385(SIP), no.386(RCS) 
Page pp.139-144 
#Pages 6 
Date of Issue 2014-01-16 (SIP, RCS) 

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