Publications in Scientific Journals:
H. Yao, P. Gerstoft, P. M. Shearer, C. Mecklenbräuker:
"Compressive sensing of the Tohoku-Oki Mw 9.0 earthquake: Frequency-dependent rupture modes";
Geophysical Research Letters,
Compressive sensing (CS) is a technique for finding sparse signal reapersentations to underdetermined linear measurement equations. We use CS to locate seismic sources during the rupture of the 2011 Tohoku-Oki Mw9.0 earthquake in Japan from teleseismic P waves recorded by an array of stations in the United States. The seismic sources are located by minimizing the l2-
10 norm of the difference between the observed and modeled waveforms penalized by the l1-norm of the seismic source vector. The resulting minimization problem is convex and can be solved efficiently. Our results show clear frequency-dependent rupture modes with high-frequency energy radiation dominant in the down-dip region and low-frequency radiation in the up-dip region, which may be caused by differences in rupture behavior (more intermittent or continuous) at the slab interface due to heterogeneous frictional properties.
sparse reconstruction, lasso, compressive sensing, sensor signal processing
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Created from the Publication Database of the Vienna University of Technology.