Paper Abstract and Keywords |
Presentation |
2011-03-04 11:35
Performance of Anomalous Signal Detection with HMM Approach in Electromagnetic Wave Observation Using Moving Window Yoshinao Ito, Akitoshi Itai, Hiroshi Yasukawa (Aichi Prefectural Univ.), Ichi Takumi (Nagoya Inst. Of Tech.), Masayasu Hata (Chubu Univ.) SIS2010-67 |
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.
We proposed 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.
In this paper, we evaluate the accuracy of an anomalous signal detection by using a temporal change of log likelihood calculated from EM wave data. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
electromagnetic wave / Hidden Markov Model / extremely low frequency band / amplitude density distribution / log likelihood / signal detection / / |
Reference Info. |
IEICE Tech. Rep., vol. 110, no. 445, SIS2010-67, pp. 77-81, March 2011. |
Paper # |
SIS2010-67 |
Date of Issue |
2011-02-24 (SIS) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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SIS2010-67 |