| I developed a frequency-domain iterative deconvolution approach, which is demonstrated as the generalization of conventional iterative deconvolution, and applied it to estimate receiver functions from teleseismic earthquakes recorded on passive seismic arrays. Generalized iterative deconvolution improves the resolution of receiver function estimation by using an inverse operator that can be tuned to maximize resolution instead of the conventional cross-correlation operator, which is the major theoretical breakthrough of iterative deconvolution. I also showed that the signal to noise ratio of the result can be improved by applying a different convergence criterion than the standard method, which measures the energy left after each iteration. The efficacy of the approach was evaluated with synthetic experiment in various signal and noise conditions. I further validated the approach with real data from the USArray. I compared our results with data from the EarthScope Automated Receiver Survey and found that our results show a comparable consistency on the distribution of calculated correlation coefficients without even applying any quality control process and results from larger events have overall higher consistency. However, in order to get further improvement in the result, similar selective procedure as the one applied by EarthScope Automated Receiver Survey is required. |
