Paper Abstract and Keywords |
Presentation |
2018-12-14 10:30
Bayesian Filter for Sound Environment by Considering Additive Property of Energy Variable and Fuzzy Observation in Decibel Scale
-- Introduction of Fuzzy Moments -- Akira Ikuta, Hisako Orimoto (Prefectural Univ. Hiroshima) EA2018-89 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In the measurement and evaluation of actual random signal in a sound environment, the observed data often contain the fuzziness due to several causes. Furthermore, there exists usually a background noise in addition to the objective specific signal. In this study, a Bayesian filter for estimating a specific signal, based on the observed data containing the fuzziness, and the effects of a background noise with non-Gaussian type is proposed. More specifically, after paying attention to the energy variables satisfying the additive property of the specific signal and background noise, by introducing a new type of membership function with unknown parameter, which is suitable for the energy variable and the observation in decibel scale, a state estimation method is theoretically derived. In the proposed estimation algorithm, the parameter of the membership function is estimated simultaneously with the specific signal based on the fuzzy observation data. The proposed theory is applied to the actual observation data in a sound environment, and its usefulness is experimentally verified. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Bayesian Filter / Sound Environment / Fuzzy Moments / State Estimation / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 118, no. 357, EA2018-89, pp. 51-58, Dec. 2018. |
Paper # |
EA2018-89 |
Date of Issue |
2018-12-06 (EA) |
ISSN |
Print edition: ISSN 0913-5685 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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EA2018-89 |
Conference Information |
Committee |
EA |
Conference Date |
2018-12-13 - 2018-12-14 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
kyushu Univ. |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Engineering/Electro Acoustics, and Related Topics |
Paper Information |
Registration To |
EA |
Conference Code |
2018-12-EA |
Language |
English |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Bayesian Filter for Sound Environment by Considering Additive Property of Energy Variable and Fuzzy Observation in Decibel Scale |
Sub Title (in English) |
Introduction of Fuzzy Moments |
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Bayesian Filter |
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Sound Environment |
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Fuzzy Moments |
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State Estimation |
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1st Author's Name |
Akira Ikuta |
1st Author's Affiliation |
Prefectural University of Hiroshima (Prefectural Univ. Hiroshima) |
2nd Author's Name |
Hisako Orimoto |
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Prefectural University of Hiroshima (Prefectural Univ. Hiroshima) |
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Speaker |
Author-1 |
Date Time |
2018-12-14 10:30:00 |
Presentation Time |
25 minutes |
Registration for |
EA |
Paper # |
EA2018-89 |
Volume (vol) |
vol.118 |
Number (no) |
no.357 |
Page |
pp.51-58 |
#Pages |
8 |
Date of Issue |
2018-12-06 (EA) |
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