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- W2139635509 abstract "SummaryBeamforming or simple delay-and-sum processing is extensively used in analysis of P-waves recorded by the large aperture arrays NORSAR (Norway) and LASA (Montana). When the underlying assumptions of well-equalized noise levels and identical signals between instruments is correct, the corresponding gain in SNR is optimum. In practice, these restrictive signal and noise models are not valid, thus degrading the final signal estimate and the event detectability of seismic P waves. In this paper more generalized signal models are introduced and the corresponding least squares signal estimation techniques described. The usefulness of these data processing schemes is demonstrated in analysis of more than one hundred LASA and NORSAR recorded signals. For LASA the average gain in SNR relative to that of conventional beamforming for teleseismic events was around 3.7 dB. Most of this was obtained by accounting for noise level variations between subarrays, as signal coherency across the array is good. For NORSAR the corresponding SNR gain was approximately 2.5 dB, mostly obtained by accounting for the more complicated signal structures in this case. For local events, characterized by partly incoherent signals across the array, relative SNR gains amounting to 5–10 dB were usually obtained. A great advantage with the signal estimation techniques used is that both positive and negative signal weights are permitted thus partly avoiding destructive signal interference during beamforming of complicated or very weak signals." @default.
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- W2139635509 date "1974-09-01" @default.
- W2139635509 modified "2023-09-24" @default.
- W2139635509 title "Least Squares Signal Estimation Techniques in of Seismic Array Recorded P Waves" @default.
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- W2139635509 doi "https://doi.org/10.1111/j.1365-246x.1974.tb05428.x" @default.
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