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We perform FFT operations on multiple time windows of fixed number of points.
Figure 2 Examples of (a) accepted and (b) rejected results by CC measurements with multiple time windows.
Figure 3 Results of CC measurements (a to f) with multiple time windows at three OBS stations.
To overcome such problems, CC measurements were first performed using multiple time windows with different lengths in order to reject unstable results.
For this inversion, we used the method of Yoshida et al. (1996) which is based on the formulation of multiple time windows.
Based on the assumption of multiple time windows with a large initial rupture velocity, we inverted hr-GPS data for a rupture model with varying rupture velocity for the 2011 Tohoku earthquake.
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We used the multiple time window linear source inversion method (Hartzell and Heaton 1983) with a spatiotemporal smoothing constraint on slips (Sekiguchi et al. 2000).
Because the rake angle of Model 0 varies temporally in the multiple time window representation, the rake angle of the time window with the largest slip velocity is plotted.
We used the linear multiple time window inversion method with constraints on the smoothness of the spatiotemporal slip distribution (e.g., Ide et al., 1996; Nakayama and Takeo, 1997).
The kinematic source rupture processes of the two earthquakes were estimated with the multiple time-window linear waveform inversion method (Hartzell and Heaton 1983; Olson and Apsel 1982).
Yoshida et al. (2016) conducted a two-step approach for multiple time-window kinematic waveform inversions of strong-motion data to estimate detailed slip distributions on these four fault segments.
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multiple chat windows
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multiple time signatures
multiple time periods
multiple time zones
multiple signal windows
multiple time delays
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multiple time packets
multiple time scales
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