Generalized iterative algorithm for spectral signal deconvolution

A 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 representation. It offers new optimal methods of spatial extrapolation and leads to important computation savings.

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