Comment on `Explicit, approximate expressions for the resolution and a posteriori covariance of massive tomographic systems' by G. Nolet, R. Montelli and J. Virieux

Astronomy and Astrophysics – Astronomy

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

3

Covariance, Projection, Resolution Matrix, Tomographic Inversion

Scientific paper

When solving tomographic inversion problems, the resolution matrix for the equation system can provide very useful information on how well the model parameters can be resolved. Recently, Nolet et al. (1999)-referred to as NMV hereafter-proposed a one-step projection method to estimate the resolution matrix for massive tomographic problems. It was claimed by NMV that the approximations inherent in the one-step approach are of limited significance. We point out some of the problems associated with these approximations, and question whether the issue of the level of approximation has in practice been sufficiently addressed. We also suggest a modified approach that avoids some of the possible problems.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Comment on `Explicit, approximate expressions for the resolution and a posteriori covariance of massive tomographic systems' by G. Nolet, R. Montelli and J. Virieux does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Comment on `Explicit, approximate expressions for the resolution and a posteriori covariance of massive tomographic systems' by G. Nolet, R. Montelli and J. Virieux, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Comment on `Explicit, approximate expressions for the resolution and a posteriori covariance of massive tomographic systems' by G. Nolet, R. Montelli and J. Virieux will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1185227

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.