Pre-processing of synthetic single bounce reflection-loss data with strongly correlated data errors to improve application of a nonlinear Bayesian inversion to recover geoacoustic parameters from a viscoelastic model was considered. Correlated Gaussian errors were generated using a realistic synthetic covariance matrix derived from experimental measurements. It was found that the data used contained eight frequencies in a band from 300 to 1600 Hz with different numbers of angles at each frequency. The correct treatment of error correlations for uncertainties estimation from the data was found to be essential.
|Original language||English (US)|
|Number of pages||2|
|Journal||Canadian Acoustics - Acoustique Canadienne|
|State||Published - Sep 1 2004|
All Science Journal Classification (ASJC) codes
- Acoustics and Ultrasonics