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Paper Abstract and Keywords
Presentation 2012-10-18 16:50
[Invited Talk] Applications of Compressed Sensing in Wireless Communication Systems
Doohwan Lee (Univ. of Tokyo) RCS2012-145 SR2012-65 AN2012-39 USN2012-42
Abstract (in Japanese) (See Japanese page) 
(in English) Compressed sensing has been drawn explosive attention during last several years. It is a new framework that uses signal sparsity to reduce the amount of data that needs to be measured. The measurement of an M-dimensional vector onto an N-dimensional (N<<M) vector loses some information in general and the inverse problem (N equations with M variables) has an infinite number of solutions. However, when the signal only has K nonzero coefficients (K<N<<M) in some convenient basis and the measurement matrix is incoherent with the basis, or equivalently satisfies the restricted isometry property, the inverse problem has, with high probability, a unique and exact solution. Inspired by above seminal work of Candes and Donoho, and a plethora of related research has taken place from theory to applications including astronomy, magnetic resonance imaging, and digital imaging by exploiting the natural sparsity of their underlying data. Interpretation of compressed
sensing in the sense of wireless technology is as follows: radio wave data can be received, transmitted, and reconstructed using
sub-Nyquist rate information without aliasing if the original signal is sparse in time domain or frequency domain.
Keyword (in Japanese) (See Japanese page) 
(in English) Compressed sensing / Compressive sampling / L1-norm minimization / Compressed sensing applications / / / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 240, SR2012-65, pp. 179-179, Oct. 2012.
Paper # SR2012-65 
Date of Issue 2012-10-10 (RCS, SR, AN, USN) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
Copyright
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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. (No. 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF RCS2012-145 SR2012-65 AN2012-39 USN2012-42

Conference Information
Committee SR AN USN RCS  
Conference Date 2012-10-17 - 2012-10-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Fukuoka univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) wireless distributed network, general topics 
Paper Information
Registration To SR 
Conference Code 2012-10-SR-AN-USN-RCS 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Applications of Compressed Sensing in Wireless Communication Systems 
Sub Title (in English)  
Keyword(1) Compressed sensing  
Keyword(2) Compressive sampling  
Keyword(3) L1-norm minimization  
Keyword(4) Compressed sensing applications  
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1st Author's Name Doohwan Lee  
1st Author's Affiliation The Univeristy of Tokyo (Univ. of Tokyo)
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Speaker
Date Time 2012-10-18 16:50:00 
Presentation Time 35 
Registration for SR 
Paper # IEICE-RCS2012-145,IEICE-SR2012-65,IEICE-AN2012-39,IEICE-USN2012-42 
Volume (vol) IEICE-112 
Number (no) no.239(RCS), no.240(SR), no.241(AN), no.242(USN) 
Page p.121(RCS), p.179(SR), p.91(AN), p.85(USN) 
#Pages IEICE-1 
Date of Issue IEICE-RCS-2012-10-10,IEICE-SR-2012-10-10,IEICE-AN-2012-10-10,IEICE-USN-2012-10-10 


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