Possible effects of selecting different station distributions in the optimal sequence estimation method
)Abstract
Since the inception of the optimal sequence estimation (OSE) method, various research teams have substantiated its efficacy as the optimal stacking technique for handling array data, leading to its successful application in numerous geoscience studies. Nevertheless, concerns persist regarding the potential impact of aliasing resulting from the choice of distinct station distributions on the outcomes derived from OSE. In this investigation, I employ theoretical deduction and experimental analysis to elucidate the reasons behind the immunity of the Yl'm'-related common signal obtained through OSE to variations in station distribution selection. The primary objective of OSE is also underscored, i.e., to restore/strip a Yl'm'-related common periodic signal from various stations. Furthermore, I provide additional clarification that the ‘Yl'm'-related common signal’ and the ‘Yl'm'-related equivalent excitation sequence’ are distinct concepts. These analyses will facilitate the utilization of the OSE technique by other researchers in investigating intriguing geophysical phenomena and attaining sound explanations.
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