| Paper Abstract and Keywords |
| Presentation |
2020-03-02 13:00
[Poster Presentation]
Restoration of clipped signal using oversampling based on differentiable and convex loss function Natsuki Ueno, Shoichi Koyama, Hiroshi Saruwatari (Univ. Tokyo) EA2019-126 SIP2019-128 SP2019-75 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
A signal reconstruction method of clipped time-continuous signal using oversampling is proposed. The signal reconstruction problem is formulated as a minimization problem of weighted sum of a loss function between the signal and the observed data and a regularization term representing the norm of the signal. When the squared error function is used for the loss function, the objective function becomes nonconvex and nondifferentiable. To avoid this problem, we propose a convex and differentiable loss function based on a primitive function of the clipping function. Our proposed formulation can be solved by gradient descent method and majorization-minimization algorithm; we derive the update rules for these algorithms. We also show the results of the numerical experiments, which indicates that the proposed method achieved higher reconstruction
accuracy than the conventional method. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
clipping / signal reconstruction / convex optimization / gradient descent method / majorization-minimization algorithm / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 119, no. 440, SIP2019-128, pp. 147-152, March 2020. |
| Paper # |
SIP2019-128 |
| Date of Issue |
2020-02-24 (EA, SIP, SP) |
| 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 |
EA2019-126 SIP2019-128 SP2019-75 |
| Conference Information |
| Committee |
SP EA SIP |
| Conference Date |
2020-03-02 - 2020-03-03 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Okinawa Industry Support Center |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
|
| Paper Information |
| Registration To |
SIP |
| Conference Code |
2020-03-SP-EA-SIP |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Restoration of clipped signal using oversampling based on differentiable and convex loss function |
| Sub Title (in English) |
|
| Keyword(1) |
clipping |
| Keyword(2) |
signal reconstruction |
| Keyword(3) |
convex optimization |
| Keyword(4) |
gradient descent method |
| Keyword(5) |
majorization-minimization algorithm |
| Keyword(6) |
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| Keyword(7) |
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| Keyword(8) |
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| 1st Author's Name |
Natsuki Ueno |
| 1st Author's Affiliation |
The University of Tokyo (Univ. Tokyo) |
| 2nd Author's Name |
Shoichi Koyama |
| 2nd Author's Affiliation |
The University of Tokyo (Univ. Tokyo) |
| 3rd Author's Name |
Hiroshi Saruwatari |
| 3rd Author's Affiliation |
The University of Tokyo (Univ. Tokyo) |
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| Speaker |
Author-1 |
| Date Time |
2020-03-02 13:00:00 |
| Presentation Time |
90 minutes |
| Registration for |
SIP |
| Paper # |
EA2019-126, SIP2019-128, SP2019-75 |
| Volume (vol) |
vol.119 |
| Number (no) |
no.439(EA), no.440(SIP), no.441(SP) |
| Page |
pp.147-152 |
| #Pages |
6 |
| Date of Issue |
2020-02-24 (EA, SIP, SP) |