USING STATISTICS OF A FITTING FUNCTION FOR DATA DRIVEN DISPERSION SLOWNESS PROCESSING

摘要

Dispersive array acoustic data are acquired. A histogram is determined from the semblance-frequency coherence of the data. The low frequency limit of the data is estimated by matching the statistics of the histogram to the statistics of a modeling function.