| Paper Abstract and Keywords |
| Presentation |
2014-06-26 15:45
[Invited Talk]
Application of Compressed Sensing to Communication Networks Takahiro Matsuda (Osaka Univ.) IN2014-22 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
In this article, we introduce compressed sensing and its applications in communication networks. Compressed sensing is an emerging theory in signal/image processing, and it enables us to acquire a sparse solution in an ill-posed linear inverse problem. When using compressed sensing in some applications of communication networks, we need to consider that the assumption of the sparsity is natural in these applications. We first explain the basic idea of vector and matrix recovery problems in compressed sensing. We then explain three applications of compressed sensing: data delivery schemes in wireless sensor networks, network tomography, and wireless tomography, and we discuss the sparsity in these applications. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
compressed sensing / vector recovery / matrix recovery / application / communication networks / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 114, no. 110, IN2014-22, pp. 37-42, June 2014. |
| Paper # |
IN2014-22 |
| Date of Issue |
2014-06-19 (IN) |
| 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 |
IN2014-22 |
| Conference Information |
| Committee |
IN |
| Conference Date |
2014-06-26 - 2014-06-27 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Kagawa Univ. |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Web Service/SOA/ROA Platform, Social Networking Service (SNS), Authentication/ID management, Network Coding/Network Algorithms, Data Analysis/Processing Platform, etc. |
| Paper Information |
| Registration To |
IN |
| Conference Code |
2014-06-IN |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Application of Compressed Sensing to Communication Networks |
| Sub Title (in English) |
|
| Keyword(1) |
compressed sensing |
| Keyword(2) |
vector recovery |
| Keyword(3) |
matrix recovery |
| Keyword(4) |
application |
| Keyword(5) |
communication networks |
| Keyword(6) |
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| 1st Author's Name |
Takahiro Matsuda |
| 1st Author's Affiliation |
Osaka University (Osaka Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2014-06-26 15:45:00 |
| Presentation Time |
45 minutes |
| Registration for |
IN |
| Paper # |
IN2014-22 |
| Volume (vol) |
vol.114 |
| Number (no) |
no.110 |
| Page |
pp.37-42 |
| #Pages |
6 |
| Date of Issue |
2014-06-19 (IN) |