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) |
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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) |
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Compressed Sensing |
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Linear Measurements |
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Linear Simultaneous Equations |
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Sparsity |
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$ell_1$-norm |
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1st Author's Name |
Kazunori Hayashi |
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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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