Paper Abstract and Keywords |
Presentation |
2019-03-08 10:15
Typical performance of the L1 regularization regression from linear measurements with measurement noise and large coherence Minori Ihara, Kazunori Iwata, Kazushi Mimura (Hiroshima City Univ.) IT2018-117 ISEC2018-123 WBS2018-118 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
We evaluate typical performance of compressed sensing in the case where iterative recovery algorithms fail to converge. The simple example in this case is where elements of measurement matrix obey probability distribution with non-zero mean. In this study, we especially focus on the case of measurement matrix has large coherence, and evaluate the mean square error (MSE) between an original signal to be estimated and its estimate by using the replica method.When coherence of measurement matrix is enough large, the performance depends only on signal density.And the MSE sometimes behaves non-monotonically as compression rate increases under the influence of measurement noise. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
replica method / compressed sensing / L1 regularization regression / coherence / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 118, no. 477, IT2018-117, pp. 257-262, March 2019. |
Paper # |
IT2018-117 |
Date of Issue |
2019-02-28 (IT, ISEC, WBS) |
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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IT2018-117 ISEC2018-123 WBS2018-118 |
Conference Information |
Committee |
IT ISEC WBS |
Conference Date |
2019-03-07 - 2019-03-08 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
University of Electro-Communications |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
joint meeting of IT, ISEC, and WBS |
Paper Information |
Registration To |
IT |
Conference Code |
2019-03-IT-ISEC-WBS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Typical performance of the L1 regularization regression from linear measurements with measurement noise and large coherence |
Sub Title (in English) |
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Keyword(1) |
replica method |
Keyword(2) |
compressed sensing |
Keyword(3) |
L1 regularization regression |
Keyword(4) |
coherence |
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1st Author's Name |
Minori Ihara |
1st Author's Affiliation |
Hiroshima City University (Hiroshima City Univ.) |
2nd Author's Name |
Kazunori Iwata |
2nd Author's Affiliation |
Hiroshima City University (Hiroshima City Univ.) |
3rd Author's Name |
Kazushi Mimura |
3rd Author's Affiliation |
Hiroshima City University (Hiroshima City Univ.) |
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Speaker |
Author-1 |
Date Time |
2019-03-08 10:15:00 |
Presentation Time |
25 minutes |
Registration for |
IT |
Paper # |
IT2018-117, ISEC2018-123, WBS2018-118 |
Volume (vol) |
vol.118 |
Number (no) |
no.477(IT), no.478(ISEC), no.479(WBS) |
Page |
pp.257-262 |
#Pages |
6 |
Date of Issue |
2019-02-28 (IT, ISEC, WBS) |
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