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| Presentation | 2020-03-10 11:55 An Improved Learning Method for Weighted-BP using MAP-based Training Data Filtering Ryota Yoshizawa, Kenichiro Furuta, Yuma Yoshinaga, Osamu Torii, Tomoya Kodama (Kioxia)  IT2019-101 ISEC2019-97 WBS2019-50 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Weighted-BP has been proposed so as to compensate the shortcoming of BP decoding of high-density parity-check (HDPC) codes, e.g., BCH codes, by finding appropriate message weights using an neural network representation that is equivalent to the message transmission in BP over the Tanner graph. In the conventional weighted-BP, message weights are learned based on the training pair of transmitted codeword and its noisy received version. However, this may deteriorate the learning efficiency as well as the resulting decoding performance since the noise that cannot be mitigated by MAP decoding can be imposed on the received symbols. In this report, we investigate the performance improvement of the weighted-BP by filtering out such pairs from the training data, and instead, using the pair of MAP-decoded codeword and the received symbol for training. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | BCH codes / Belief-Propagation / Neural Network / MAP decoding / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 473, IT2019-101, pp. 73-78, March 2020. | |
| Paper # | IT2019-101 | |
| Date of Issue | 2020-03-03 (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) | |
| Download PDF | IT2019-101 ISEC2019-97 WBS2019-50 |
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| Conference Information | |
| Committee | ISEC IT WBS |
| Conference Date | 2020-03-10 - 2020-03-11 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | University of Hyogo |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | joint meeting of IT, ISEC, and WBS |
| Paper Information | |
| Registration To | IT |
| Conference Code | 2020-03-ISEC-IT-WBS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | An Improved Learning Method for Weighted-BP using MAP-based Training Data Filtering |
| Sub Title (in English) | |
| Keyword(1) | BCH codes |
| Keyword(2) | Belief-Propagation |
| Keyword(3) | Neural Network |
| Keyword(4) | MAP decoding |
| Keyword(5) | |
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| 1st Author's Name | Ryota Yoshizawa |
| 1st Author's Affiliation | Kioxia Corporation (Kioxia) |
| 2nd Author's Name | Kenichiro Furuta |
| 2nd Author's Affiliation | Kioxia Corporation (Kioxia) |
| 3rd Author's Name | Yuma Yoshinaga |
| 3rd Author's Affiliation | Kioxia Corporation (Kioxia) |
| 4th Author's Name | Osamu Torii |
| 4th Author's Affiliation | Kioxia Corporation (Kioxia) |
| 5th Author's Name | Tomoya Kodama |
| 5th Author's Affiliation | Kioxia Corporation (Kioxia) |
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| Speaker | Author-1 |
| Date Time | 2020-03-10 11:55:00 |
| Presentation Time | 25 minutes |
| Registration for | IT |
| Paper # | IT2019-101, ISEC2019-97, WBS2019-50 |
| Volume (vol) | vol.119 |
| Number (no) | no.473(IT), no.474(ISEC), no.475(WBS) |
| Page | pp.73-78 |
| #Pages | 6 |
| Date of Issue | 2020-03-03 (IT, ISEC, WBS) |
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