Evaluation of seismic events detection algorithms

Sharna, B.K. and Kumar, Amod and Murthy, V.M. (2010) Evaluation of seismic events detection algorithms. Journal of the Geological society of India, 75 (3). pp. 533-538. ISSN 0974-6889

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Identification of seismic events from continuously recorded seismic data in real-time through a Digital Seismic Data Recording system is a difficult task. Despite the vast amount of research in this field, the signal processing and event parameters discrimination algorithms have not yet fully come of age. Presently, we have a wide spectrum of trigger algorithms, ranging from a very simple amplitude threshold type to the sophisticated ones based on pattern recognition approaches. Some of the other approaches use adaptive technique and neural network methods. Researchers are continuously making efforts for the development of algorithms using various techniques, which produce minimum false trigger. Some approaches have been reported which are accurate for detecting first phase of events and take minimum possible computational time. In this paper several approaches for detecting event signals in background noise are presented and their precision evaluation is discussed

Item Type: Article
Uncontrolled Keywords: Seismic events, Detection, Algorithms.
Subjects: CSIO > Strategic Instrumentation
Divisions: Public Safety
Depositing User: Ms T Kaur
Date Deposited: 22 Jan 2012 14:27
Last Modified: 11 Apr 2012 09:43
URI: http://csioir.csio.res.in/id/eprint/190

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