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Paper Abstract and Keywords
Presentation 2022-08-25 13:03
Computational Cost Reduction in 1-Dimensional Null Space Estimation of Noisy Structured Matrices
Natsuki Yoshino, Akira Tanaka (Hokudai) SIP2022-51
Abstract (in Japanese) (See Japanese page) 
(in English) The structured total least norm method has been proposed for estimating the one-dimensional null space of structured matrices with errors. The accuracy of this method, however, depends on the initial linear equation obtained by moving one column of a given matrix to the right-hand side. The traditional strategy is to solve the equation with all possible candidates and select the best one. This method is computationally expensive. In this paper, we propose a method to obtain a good initial linear equation while maintaining accuracy.
Keyword (in Japanese) (See Japanese page) 
(in English) structured total least norm / low rank approximation / greatest common divisor of polynomials / Sylvester matrix / structured matrix / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 165, SIP2022-51, pp. 7-12, Aug. 2022.
Paper # SIP2022-51 
Date of Issue 2022-08-18 (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 SIP2022-51

Conference Information
Committee SIP  
Conference Date 2022-08-25 - 2022-08-26 
Place (in Japanese) (See Japanese page) 
Place (in English) Nobumoto Ohama Memorial Hall (Ishigaki Island) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Signal processing, etc. 
Paper Information
Registration To SIP 
Conference Code 2022-08-SIP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Computational Cost Reduction in 1-Dimensional Null Space Estimation of Noisy Structured Matrices 
Sub Title (in English)  
Keyword(1) structured total least norm  
Keyword(2) low rank approximation  
Keyword(3) greatest common divisor of polynomials  
Keyword(4) Sylvester matrix  
Keyword(5) structured matrix  
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Keyword(7)  
Keyword(8)  
1st Author's Name Natsuki Yoshino  
1st Author's Affiliation Hokkaido University (Hokudai)
2nd Author's Name Akira Tanaka  
2nd Author's Affiliation Hokkaido University (Hokudai)
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Speaker Author-1 
Date Time 2022-08-25 13:03:00 
Presentation Time 18 minutes 
Registration for SIP 
Paper # SIP2022-51 
Volume (vol) vol.122 
Number (no) no.165 
Page pp.7-12 
#Pages 6 
Date of Issue 2022-08-18 (SIP) 

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