Journal Article10.1016/S0267-7261(97)00026-2
Identification of seismic events based on stochastic properties of the short-period records
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TL;DR: In this paper, a non-stationary stochastic model for underground nuclear explosions and natural earthquakes is considered based on a well-known deterministic formulation and a discriminating procedure is described and illustrated using available P-wave records.
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About: This article is published in Soil Dynamics and Earthquake Engineering. The article was published on 01 Feb 1998. The article focuses on the topics: Linear discriminant analysis & Stochastic modelling.
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Citations
Fractal analysis with applications to seismological pattern recognition of underground nuclear explosions
TL;DR: The feature of statistical self-affine fractal yielded from the logarithmic power spectrum is presented, and five novel features obtained from the evolution of the signal energy with scale are included, together with the relationships between the features advocated.
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Recognition of Rock Micro-Fracture Signal Based on Deep Convolution Neural Network Inception Algorithm
TL;DR: Zhang et al. as mentioned in this paper proposed a microseismic data identification method based on the Deep Convolution Neural Network Inception (DCNN-Inception) algorithm, which uses an existing Convolutional Neural Network (CNN) model, adding Inception structure in the middle of the model to form a DCNN-inception model.
Low-flying target detection: a surface seismic waves application
Jaroslav Cechak,Petr Bojda +1 more
- 14 Jun 2009
TL;DR: In this paper, a signal digital analysis and the options for detecting low-flying targets through surface seismic wave utilisation is presented. But the results are presented in table and diagram forms created in Matlab mathematical environment.
3
Low-flying target position finding with a seismic system
Jaroslav Cechak,Petr Hubacek,Jiri Vesely +2 more
- 14 Jun 2009
TL;DR: In this article, a low-flying target position finding principle on Time Direction Of Arrival (TDOA) basis is proposed to detect and identify low flying targets, such as helicopters, propeller or jet aircraft, in the detection range of up to several kilometres.
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References
Scaling law of seismic spectrum
TL;DR: In this paper, the authors investigated the dependence of the amplitude spectrum of seismic waves on source size by fitting an exponentially decaying function to the autocorrelation function of the dislocation velocity and found that the most convenient parameter for their purpose is the magnitude Ms, defined for surface waves with period of 20 sec.
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