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 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) |
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SIS2021-9 |
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) |
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nonnegative matrix factorizaton |
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blind signal separation |
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noise reduction |
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electromagnetic wave |
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1st Author's Name |
Motoaki Mour |
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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 |
6 |
Date of Issue |
2021-06-17 (SIS) |
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