Least-squares imaging and deconvolution using the hybrid norm conjugate-direction solver

Abstract:

To retrieve a sparse model, we applied the hybrid norm conjugate-direction (HBCD) solver proposed by Claerbout to two interesting geophysical problems: least-squares imaging and blind deconvolution. The results showed that this solver is robust for generating sparse models.