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Paper Abstract and Keywords
Presentation 2015-03-03 09:00
[Poster Presentation] A Study on Anomaly Detection Method Using Kalman Filter and Wavelet Transform
Motomi Yamaguchi, Keiji Osaki (ICU) EA2014-88 SIP2014-129 SP2014-151
Abstract (in Japanese) (See Japanese page) 
(in English) Hybrid method of Kalman filtering and wavelet transform is proposed. Error covariance of Kalman filter can be used to estimate normal range of data in time domain. Wavelet transform of data can be used to detect anomalies in frequency domain. The hybrid method utilizes time domain information and frequency domain information, flexibly detects impulse noises in locally stationary time series data. The results of applications on some data sets are shown.
Keyword (in Japanese) (See Japanese page) 
(in English) Kalman filtering / Wavelet transform / Noise detection / Anomaly detection / / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 474, SIP2014-129, pp. 83-86, March 2015.
Paper # SIP2014-129 
Date of Issue 2015-02-23 (EA, SIP, SP) 
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 EA2014-88 SIP2014-129 SP2014-151

Conference Information
Committee SIP EA SP  
Conference Date 2015-03-02 - 2015-03-03 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SIP 
Conference Code 2015-03-SIP-EA-SP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Anomaly Detection Method Using Kalman Filter and Wavelet Transform 
Sub Title (in English)  
Keyword(1) Kalman filtering  
Keyword(2) Wavelet transform  
Keyword(3) Noise detection  
Keyword(4) Anomaly detection  
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1st Author's Name Motomi Yamaguchi  
1st Author's Affiliation International Christian University (ICU)
2nd Author's Name Keiji Osaki  
2nd Author's Affiliation International Christian University (ICU)
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Speaker Author-1 
Date Time 2015-03-03 09:00:00 
Presentation Time 90 minutes 
Registration for SIP 
Paper # EA2014-88, SIP2014-129, SP2014-151 
Volume (vol) vol.114 
Number (no) no.473(EA), no.474(SIP), no.475(SP) 
Page pp.83-86 
#Pages 4 
Date of Issue 2015-02-23 (EA, SIP, SP) 

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