Sentence examples for waveform correlation from inspiring English sources

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Gibbons, S. J. & Ringdal, F. The detection of low magnitude seismic events using array-based waveform correlation.

We used differential arrival times obtained for the manually-picked and waveform correlation data.

Fig. 7 Space-time plot of earthquakes detected by the waveform correlation method using template earthquakes during the period from February 13 , 2011 to the Tohoku-Oki earthquake [2].

Based on the waveform correlation method using template earthquakes located by the JMA, Kato et al. [2] identified a distinct foreshock sequence associated with the SSE, migrating toward the southern large slip patch (white circles in Fig. 4c).

Step 1: We first re-formulate (5) by an equivalent input-output model, in which H is decomposed into a multiplication of multiple matrices including a matrix that depends only on the signature waveform correlation coefficients.

This completes the proof for Lemma 1. ■. Proposition 1 is proved in three steps: Step 1: We first re-formulate (5) by an equivalent input-output model, in which H is decomposed into a multiplication of multiple matrices including a matrix that depends only on the signature waveform correlation coefficients.

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The onset delays are determined by a cross-correlation analysis, and we analyzed the events with high waveform correlations (correlation coefficient greater than 0.75).

The technique uses eigenspectral methods for cross-spectral phase estimation, cross-coherency-based filtering, and a hierarchical waveform stack correlation method.

Waveform cross correlation in the time-domain (Schaff et al., 2004; Kato et al., 2006) yield a more accurate data set of differential arrival times containing 297,080 P-wave observations and 10,6288 S-wave observations; all had normalized cross correlation coefficients larger than 0.85.

Cross-correlation coefficients as a function of IYG delay against TYS are on the lower side of each waveform trace.

In this study, we introduced a new metric named local similarity based on waveform cross-correlations on spatially close stations for large-N arrays.

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