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Biondi, B., and Vlad, I., 2001, Amplitude preserving prestack imaging of irregularly sampled 3-D data: SEP-110, 1-18.

Biondi, B., Clapp, R., and Crawley, S., 1996, Seplib90: Seplib for 3-D prestack data: SEP-92, 343-364.

Biondi, B., Fomel, S., and Chemingui, N., 1998, Azimuth moveout for 3-D prestack imaging: Geophysics, 63, no. 2, 574-588.

Chemingui, N., 1999, Imaging irregularly sampled 3D prestacked data: SEP-101.

Claerbout, J., and Nichols, D., 1994, Spectral preconditioning: SEP-82, 183-186.

Claerbout, J., 1999, Geophysical estimation by example: Environmental soundings image enhancement: Stanford Exploration Project,

Clapp, M. L., 2003a, Illumination compensation: Model space weighting vs. regularized inversion: SEP-113, 369-378.

Clapp, R. G., 2003b, AMO regularization: Effective approximate inverses for amplitude preservation: SEP-114, 159-170.

Clapp, R. G., 2005, Inversion and fault tolerant parallelization using Python: SEP-120, 41-62.

Duquet, B., and Marfurt, K. J., 1999, Filtering coherent noise during prestack depth migration: Geophysics, 64, no. 4, 1054-1066.

Fomel, S., Clapp, R., and Claerbout, J., 1997, Missing data interpolation by recursive filter preconditioning: SEP-95, 15-25.

Fomel, S., 2001, Three-dimensional seismic data regularization: Ph.D. thesis, Stanford University.

Prucha, M. L., Clapp, R. G., and Biondi, B., 2000, Seismic image regularization in the reflection angle domain: SEP-103, 109-119.

Rickett, J., 2001, Model-space vs data-space normalization for finite-frequency depth migration: SEP-108, 81-90.

Ronen, S., and Liner, C. L., 2000, Least-squares DMO and migration: Geophysics, 65, no. 5, 1364-1371.

Verschuur, D. J., Berkhout, A. J., and Wapenaar, C. P. A., 1992, Adaptive surface-related multiple elimination: Adaptive surface-related multiple elimination:, Soc. of Expl. Geophys., Geophysics, 1166-1177.


Stanford Exploration Project