Today, angle gather construction is acomputational bottleneck in terms of computation,
cache misses, and IO. Compressive sensing, which reconstructs a sub-sampled signal
by a
inversion of the data transformed into a sparse basis function, offers
a potential solution. I showed that the angle gather constructions meets the two criterion
for compressive sensing: the data is highly compressible using multi-dimensional
wavelets and reducing the data size dramatically reduces computational cost. The
next step in this work is to apply an
solver to reconstruct a sub-sampled
offset gather.
2011-05-24