Bertero, M.; Bindi, D.; Boccacci, P.; Cattaneo, M.; Eva, C.; Lanza, V. A novel blind-deconvolution method with an application to seismology. (English) Zbl 0924.65136 Inverse Probl. 14, No. 4, 815-833 (1998). Extract from the authors’ abstract: We propose a nontrivial modification of an iterative blind-deconvolution method used for image identification. The main feature of our method, which is based on the projected Landweber method, is that the use of different constraints for the EGF and STF is allowed. The convergence of the method is very fast and the results obtained in the case of synthetic and real data are quite satisfactory. It can be applied to any deconvolution problem where a rough approximation of the point spread function is available and different constraints must be used for the impulse response function and the input of the system. Reviewer: C.L.Koul (Jaipur) Cited in 5 Documents MSC: 65R10 Numerical methods for integral transforms 86A15 Seismology (including tsunami modeling), earthquakes 86A22 Inverse problems in geophysics 65R30 Numerical methods for ill-posed problems for integral equations 44A35 Convolution as an integral transform Keywords:seismology; source time function; empirical Green function model; blind-deconvolution method; image identification; Landweber method; convergence PDFBibTeX XMLCite \textit{M. Bertero} et al., Inverse Probl. 14, No. 4, 815--833 (1998; Zbl 0924.65136) Full Text: DOI Link