| Paper Abstract and Keywords |
| Presentation |
2021-08-23 14:00
[Invited Talk]
Block-Sparse Estimation using Optimal Block Structure Hiroki Kuroda (Ritsumeikan Univ.) SIP2021-29 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
This talk presents a convex optimization based block-sparse estimation method which is effective even when concrete block partitions are not available. For the estimation of a block-sparse signal whose block partition is known a priori, extensive researches show the effectiveness of the mixed l2/l1 regularization. However, when the block partition used in the mixed l2/l1 regularization is different from that of the target signal, its estimation accuracy degrades significantly. To resolve this difficulty, the authors introduced a penalty function which takes the minimum of the mixed l2/l1 norm over all possible block partitions, and proposed its suitable convex relaxation. For the proposed regularization model, we developed an iterative algorithm which is guaranteed to converge to a globally optimal solution. In this talk, the authors' method
is described after a brief review on the existing literatures on block-sparse estimation problems. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
block-sparsity / unknown structure / regularization / convex optimization / proximal splitting algorithm / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 121, no. 144, SIP2021-29, pp. 11-11, Aug. 2021. |
| Paper # |
SIP2021-29 |
| Date of Issue |
2021-08-16 (SIP) |
| ISSN |
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 |
SIP2021-29 |
| Conference Information |
| Committee |
SIP |
| Conference Date |
2021-08-23 - 2021-08-24 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Online |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
|
| Paper Information |
| Registration To |
SIP |
| Conference Code |
2021-08-SIP |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Block-Sparse Estimation using Optimal Block Structure |
| Sub Title (in English) |
|
| Keyword(1) |
block-sparsity |
| Keyword(2) |
unknown structure |
| Keyword(3) |
regularization |
| Keyword(4) |
convex optimization |
| Keyword(5) |
proximal splitting algorithm |
| Keyword(6) |
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| 1st Author's Name |
Hiroki Kuroda |
| 1st Author's Affiliation |
Ritsumeikan University (Ritsumeikan Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2021-08-23 14:00:00 |
| Presentation Time |
50 minutes |
| Registration for |
SIP |
| Paper # |
SIP2021-29 |
| Volume (vol) |
vol.121 |
| Number (no) |
no.144 |
| Page |
p.11 |
| #Pages |
1 |
| Date of Issue |
2021-08-16 (SIP) |