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