Generalized iterative algorithm for spectral signal deconvolution

peer reviewedA generalized iterative algorithm for spectral signal deconvolution is presented in this paper. It works for signals characterized by a small number of spectral components. The algorithm combines the selective deconvolution which is an iterative spectral deconvolution technique and a subband decomposition. It offers a new way for finding optimal methods of spatial extrapolation and leads to important computational savings