Steep-dip deconvolution

The most recent application is Jon Claerbout's 1993 steep-dip deconvolution work. This approach involves predicting and removing undesired events, as opposed to predicting the desired events and disregarding everything else. These filters have a shape shown in Filter (9).  

$$\begin{array} {ccccc} a_{1,1} & a_{1,2} & a_{1,3} & a_{1,4}... ...\cdot & \cdot \\ \cdot & \cdot & 1 & \cdot & \cdot \end{array}$$ (9)

Steep-dip deconvolution allows events with velocities slower than the velocities of the desired events to be eliminated. Ground roll and water arrivals may be eliminated with this process.