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Paper Abstract and Keywords
Presentation 2020-08-28 10:30
Improvement Convergence Rate of the Sign Algorithm by Natural Gradient Method
Taiyo Mineo, Hayaru Shouno (UEC) SIP2020-34
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.
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
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)
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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  
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 
Date of Issue 2020-08-20 (SIP) 

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