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Paper Abstract and Keywords
Presentation 2021-06-24 14:15
[Tutorial Lecture] Noise Reduction using Nonnegative Matrix Factorization
Motoaki Mour (Aichi Univ.) SIS2021-9
Abstract (in Japanese) (See Japanese page) 
(in English) Nonnegative matrix factorization (NMF) is a general term for methods that factorize a matrix into two or more matrices with the property that all matrices have no negative elements. We can regard NMF as a kind of blind source separation in multivariate analysis, it will estimate source components and their strengths of their effect for each data. The targets that applied NMF have been audios, images, movies, biological signals, texts, an so on. Author have used to analyze the energy of electromagnetic waves in nature, mainly reduce noise. This lecture introduces basic part of NMF and show an application example of noise reduction.
Keyword (in Japanese) (See Japanese page) 
(in English) nonnegative matrix factorizaton / blind signal separation / noise reduction / electromagnetic wave / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 73, SIS2021-9, pp. 49-54, June 2021.
Paper # SIS2021-9 
Date of Issue 2021-06-17 (SIS) 
ISSN Online edition: ISSN 2432-6380
Copyright
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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)
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Conference Information
Committee SIS IPSJ-AVM  
Conference Date 2021-06-24 - 2021-06-24 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Intelligent Multimedia Systems, Applied Embedded Systems, Three-Dimensional Image Technology (3DIT), etc. 
Paper Information
Registration To SIS 
Conference Code 2021-06-SIS-AVM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Noise Reduction using Nonnegative Matrix Factorization 
Sub Title (in English)  
Keyword(1) nonnegative matrix factorizaton  
Keyword(2) blind signal separation  
Keyword(3) noise reduction  
Keyword(4) electromagnetic wave  
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1st Author's Name Motoaki Mour  
1st Author's Affiliation Aichi University (Aichi Univ.)
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Speaker Author-1 
Date Time 2021-06-24 14:15:00 
Presentation Time 50 minutes 
Registration for SIS 
Paper # SIS2021-9 
Volume (vol) vol.121 
Number (no) no.73 
Page pp.49-54 
#Pages
Date of Issue 2021-06-17 (SIS) 


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