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Titlebook: Methods and Applications of Signal Processing in Seismic Network Operations; Tetsuo Takanami,Genshiro Kitagawa Book 2003 Springer-Verlag B

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31#
發(fā)表于 2025-3-26 20:59:00 | 只看該作者
978-3-540-43718-5Springer-Verlag Berlin Heidelberg 2003
32#
發(fā)表于 2025-3-27 02:55:34 | 只看該作者
Methods and Applications of Signal Processing in Seismic Network Operations978-3-540-47914-7Series ISSN 0930-0317 Series E-ISSN 1613-2580
33#
發(fā)表于 2025-3-27 09:13:21 | 只看該作者
34#
發(fā)表于 2025-3-27 13:11:14 | 只看該作者
Extraction of small seismic signal by state space modeling,arying innovation variance of the seismic signal model is crucial. In this article, two methods based on the piecewise modeling and the self-organizing state space modeling are shown. To illustrate the method, the results of the analysis of the foreshock of Urakawa-Oki earthquake were shown.
35#
發(fā)表于 2025-3-27 14:01:33 | 只看該作者
36#
發(fā)表于 2025-3-27 19:55:22 | 只看該作者
Automatic hypocenter location at times of extremely high seismic activity,nts to be in a small area. The application of swarm mode to waveform data at a huge seismicity after the 1996 Onikobe earthquake sequence showed that the new system is very effective and can determine more precise hypocenters rather than manual pickings.
37#
發(fā)表于 2025-3-28 00:01:44 | 只看該作者
38#
發(fā)表于 2025-3-28 04:54:08 | 只看該作者
Book 2003associated software developments, including extraction of small seismic signal from noisy observation by piecewise modeling and self-organizing state space modeling, determination of arrival time of S wave by locally multivariate stationary AT modeling, automatic interpretation of seismic signal by
39#
發(fā)表于 2025-3-28 06:29:22 | 只看該作者
40#
發(fā)表于 2025-3-28 13:32:15 | 只看該作者
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