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| Presentation | 2019-10-24 16:25 Error correction method using convolutional code in PPM compression Takumi Abe, Masato Kitakami (Chiba Univ.)  SS2019-20 DC2019-48 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | PPM compression is one of the compression methods with the highest compression rate. At the time of the proposal, there was a problem that the calculation cost was too high, but it became practical due to the recent improvement in computer performance. In general, compressed data is vulnerable to errors. Therefore, methods for adding error correction capability in various compression methods have been proposed, and methods for adding correction functions in PPM compression have also been proposed. The conventional method using parity may fail to correct errors beyond expectations. Therefore, in this study, by using the probabilistic properties of Viterbi decoding of convolutional codes in conjunction with the data structure of PPM compression, the error correction probability is reduced by using multiple error candidates and the error correction capability is improved. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Prediction by Partial Matching / Static PPM / Error correction code / Convolutional Code / Viterbi Decoding / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 247, DC2019-48, pp. 43-46, Oct. 2019. | |
| Paper # | DC2019-48 | |
| Date of Issue | 2019-10-17 (SS, DC) | |
| 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 | SS2019-20 DC2019-48 |
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| Conference Information | |
| Committee | DC SS |
| Conference Date | 2019-10-24 - 2019-10-25 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kumamoto Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Software Systems, etc. |
| Paper Information | |
| Registration To | DC |
| Conference Code | 2019-10-DC-SS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Error correction method using convolutional code in PPM compression |
| Sub Title (in English) | |
| Keyword(1) | Prediction by Partial Matching |
| Keyword(2) | Static PPM |
| Keyword(3) | Error correction code |
| Keyword(4) | Convolutional Code |
| Keyword(5) | Viterbi Decoding |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Takumi Abe |
| 1st Author's Affiliation | Chiba University (Chiba Univ.) |
| 2nd Author's Name | Masato Kitakami |
| 2nd Author's Affiliation | Chiba University (Chiba Univ.) |
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| Speaker | Author-1 |
| Date Time | 2019-10-24 16:25:00 |
| Presentation Time | 25 minutes |
| Registration for | DC |
| Paper # | SS2019-20, DC2019-48 |
| Volume (vol) | vol.119 |
| Number (no) | no.246(SS), no.247(DC) |
| Page | pp.43-46 |
| #Pages | 4 |
| Date of Issue | 2019-10-17 (SS, DC) |
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