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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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發(fā)表于 2025-3-21 16:48:49 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Methods and Applications of Signal Processing in Seismic Network Operations
編輯Tetsuo Takanami,Genshiro Kitagawa
視頻videohttp://file.papertrans.cn/633/632207/632207.mp4
叢書名稱Lecture Notes in Earth Sciences
圖書封面Titlebook: Methods and Applications of Signal Processing in Seismic Network Operations;  Tetsuo Takanami,Genshiro Kitagawa Book 2003 Springer-Verlag B
描述This book deals with various theoretical and practical methods for real-time automatic signal processing in local (and regional) seismic networks and associated 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 combining cumulativ sum and simulative annealing (CUSUM-SA), AR-filtering for local and teleseismic events, the currently high sensitivity seismic network running in Japan (Hi-net), PC-based computer package for automatic detection and location of earthquakes, real-time automatic seismic data-processing in seismic network running in eastern Sicily (Italy), the SIL (South Iceland Lowland) seismological data acquisition system and routine analysis in Iceland and Sweden.
出版日期Book 2003
關(guān)鍵詞Automatic Processing; Discrimination and Extraction of Seismic Signals; High Dimensional Time Series; S
版次1
doihttps://doi.org/10.1007/BFb0117693
isbn_softcover978-3-540-43718-5
isbn_ebook978-3-540-47914-7Series ISSN 0930-0317 Series E-ISSN 1613-2580
issn_series 0930-0317
copyrightSpringer-Verlag Berlin Heidelberg 2003
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 23:11:49 | 只看該作者
Multivariate time series model to estimate arrival times of S waves,regressive (MLSAR) model are examined for their ability in determining the onset time of S wave in an online system. The details of Householder’s method that is quite efficient in both accuracy and computation are described. The amount of computation is bounded by a multiple of .. with . being the d
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發(fā)表于 2025-3-22 01:10:01 | 只看該作者
地板
發(fā)表于 2025-3-22 05:42:50 | 只看該作者
Application of Autoregressive processing to the analysis of seismograms,and 1970s focused primarily on using Autoregressive (AR) filtering and other error predictive filters for improving the signal to noise ratio of small seismic signals. In the eighties and nineties most interest has been in the application of AR filtering to onset time estimation. Onset time pickers
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發(fā)表于 2025-3-22 09:28:12 | 只看該作者
Hi-net: High sensitivity seismograph network, Japan, for Earthquake Research Promotion’ after 1995 Hyogoken-nanbu Earthquake and has been constructed and operated by National Research Institute for Earth Science and Disaster Prevention (NIED). Seismic stations are distributed homogeneously covering whole Japan Islands with an average spacing of 20–30
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發(fā)表于 2025-3-22 13:20:53 | 只看該作者
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發(fā)表于 2025-3-22 18:55:21 | 只看該作者
,The SIL seismological data acquisition system —As operated in Iceland and in Sweden—,d in Sweden with 38 digital broad-band seismic stations. The system is mainly designed for automatic evaluation of microearthquakes with minimum operational cost and has shown the capability of automatic evaluation of more then 1500 earthquakes per day or episodically several earthquakes per minute.
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發(fā)表于 2025-3-22 23:23:20 | 只看該作者
Microearthquake analysis at local seismic networks in Iceland and Sweden and earthquake precursors,shold is lowered two magnitudes the amount of information is increased by a factor of about 40 as all microearthquakes essentially give the same amount of information. This is the basic idea behind the local seismic networks in Iceland and Sweden. The large number of microearthquakes requires automa
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發(fā)表于 2025-3-23 03:33:46 | 只看該作者
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