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Paper Abstract and Keywords
Presentation 2016-11-18 15:10
State Estimation Based on Bayes' Theorem for Sound Environment System with Quantized Observation -- Introduction of Particle Filter --
Akira Ikuta, Hisako Orimoto, Gerard Gallagher (Prefectural Univ. Hiroshima) EA2016-66 EMM2016-72
Abstract (in Japanese) (See Japanese page) 
(in English) In this study, a modified particle filter considering non-Gaussian properties of noises is proposed in a form applicable to real situation in sound environment system where the observation data are contaminated by the external noise (i.e., background noise) of arbitrary probability distribution and measured in a quantized level form. More specifically, a nonlinear observation model with the quantized observation in decibel scale is first paid considered by introducing the additive property of power state variables in sound environment system. Next, a particle filter of an extension type is derived in a form suitable for the quantized observation data and the signal processing considering higher order correlation information between the specific signal and observation. Furthermore, the effectiveness of the proposed theory is confirmed by applying it to the observed data measured in real sound environment.
Keyword (in Japanese) (See Japanese page) 
(in English) Quantized Observation / Sound Environment / Nonlinear System / Non-Gaussian Distribution / Particle Filter / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 302, EA2016-66, pp. 107-112, Nov. 2016.
Paper # EA2016-66 
Date of Issue 2016-11-10 (EA, EMM) 
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)
Download PDF EA2016-66 EMM2016-72

Conference Information
Committee EA EMM  
Conference Date 2016-11-17 - 2016-11-18 
Place (in Japanese) (See Japanese page) 
Place (in English) Compal Hall (Oita) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Multimedia Fusion, Content Processing, Multimedia Retrieval, Digital Watermarking, and Related Topics 
Paper Information
Registration To EA 
Conference Code 2016-11-EA-EMM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) State Estimation Based on Bayes' Theorem for Sound Environment System with Quantized Observation 
Sub Title (in English) Introduction of Particle Filter 
Keyword(1) Quantized Observation  
Keyword(2) Sound Environment  
Keyword(3) Nonlinear System  
Keyword(4) Non-Gaussian Distribution  
Keyword(5) Particle Filter  
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1st Author's Name Akira Ikuta  
1st Author's Affiliation Prefectural Univeristy of Hiroshima (Prefectural Univ. Hiroshima)
2nd Author's Name Hisako Orimoto  
2nd Author's Affiliation Prefectural Univeristy of Hiroshima (Prefectural Univ. Hiroshima)
3rd Author's Name Gerard Gallagher  
3rd Author's Affiliation Prefectural Univeristy of Hiroshima (Prefectural Univ. Hiroshima)
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Speaker Author-1 
Date Time 2016-11-18 15:10:00 
Presentation Time 25 minutes 
Registration for EA 
Paper # EA2016-66, EMM2016-72 
Volume (vol) vol.116 
Number (no) no.302(EA), no.303(EMM) 
Page pp.107-112 
#Pages 6 
Date of Issue 2016-11-10 (EA, EMM) 

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