Paper Abstract and Keywords |
Presentation |
2009-05-29 13:30
A Study on Anomalous Signal Detection from ELF Electromagnetic Wave Data Using HMM Yoshinao Ito, Akitoshi Itai, Hiroshi Yasukawa (Aichi Prefectural Univ.), Ichi Takumi (Nagoya Inst. of Tech.), Masayasu Hata (Chubu Univ.) EA2009-12 SIP2009-12 SP2009-17 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
It is known that the detection of an anomalous signal radiated from the earth’s crust is useful for predicting the precursor of the earthquakes.
We observed the electromagnetic (EM) wave using the Extremely Low Frequency band.
Various methods for detection of an anomalous signal have been proposed.
Those methods have some problems.
In this paper, we propose the anomalous signal detection based on HMM using the amplitude density distribution of an EM wave, which does not contain an anomalous signal.
The input signals are calculated from the observed EM wave.
An amplitude density distribution calculated from the image of an EM wave is employed as the input of HMM.
The optimal input configuration of image to calculate amplitude density distribution for the detection of anomalous signal and the number of states of HMM are examined. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
electromagnetic wave / Hidden Markov Model / extremely low frequency band / amplitude density distribution / anomalous pattern detection / signal detection / / |
Reference Info. |
IEICE Tech. Rep., vol. 109, no. 56, SIP2009-12, pp. 59-63, May 2009. |
Paper # |
SIP2009-12 |
Date of Issue |
2009-05-21 (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 |
EA2009-12 SIP2009-12 SP2009-17 |
|