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| Presentation | 2020-08-28 10:30 Improvement Convergence Rate of the Sign Algorithm by Natural Gradient Method Taiyo Mineo, Hayaru Shouno (UEC)  SIP2020-34 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In lossless audio compression, it is essential to predictive residuals to be sparse, since we apply entropy codings to residuals. The Sign Algorithm(SA) is the conventional method to minimize the residuals in magnitude, but it has poor convergence performance than the Least Mean Square(LMS) Algorithm. In this paper, we discuss the improvement of the convergence performance of the SA by the natural gradient method. We show that the auto-correlation matrix of the input signal is needed to apply the natural gradient. The variable step-size algorithm has some relations to well-known adaptive algorithms such as the NLMS and RLS. We also show that the proposed methods are better convergence performance than the SA for toy data and useful music data through computer experiences. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Lossless Audio Coding / Adaptive Algorithm / Sign Algorithm / Natural Gradient Method / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 142, SIP2020-34, pp. 19-24, Aug. 2020. | |
| Paper # | SIP2020-34 | |
| Date of Issue | 2020-08-20 (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 | SIP2020-34 |
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| Conference Information | |
| Committee | SIP |
| Conference Date | 2020-08-27 - 2020-08-28 |
| 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 | 2020-08-SIP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Improvement Convergence Rate of the Sign Algorithm by Natural Gradient Method |
| Sub Title (in English) | |
| Keyword(1) | Lossless Audio Coding |
| Keyword(2) | Adaptive Algorithm |
| Keyword(3) | Sign Algorithm |
| Keyword(4) | Natural Gradient Method |
| Keyword(5) | |
| Keyword(6) | |
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| Keyword(8) | |
| 1st Author's Name | Taiyo Mineo |
| 1st Author's Affiliation | The University of Electro-Communications (UEC) |
| 2nd Author's Name | Hayaru Shouno |
| 2nd Author's Affiliation | The University of Electro-Communications (UEC) |
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| Speaker | Author-1 |
| Date Time | 2020-08-28 10:30:00 |
| Presentation Time | 25 minutes |
| Registration for | SIP |
| Paper # | SIP2020-34 |
| Volume (vol) | vol.120 |
| Number (no) | no.142 |
| Page | pp.19-24 |
| #Pages | 6 |
| Date of Issue | 2020-08-20 (SIP) |
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