** Next:** Comparing the two methods
** Up:** Multiple subtraction
** Previous:** Pattern-based approach

The goal of adaptive subtraction is to estimate the non-stationary filters
that minimize the objective function
| |
(71) |

where represents the non-stationary convolution with the
multiple model obtained with SRMP (i.e.,
Chapter ) and are the input
data. These filters are estimated in a least-squares sense for one
shot gather at a time. Note that in practice, a regularization
term is usually added in equation () to enforce
smoothness between filters. This strategy is similar to the
one used in Chapter . The
residual vector contains the estimated primaries.

** Next:** Comparing the two methods
** Up:** Multiple subtraction
** Previous:** Pattern-based approach
Stanford Exploration Project

5/5/2005