A new iterative method for signal restoration has been presented. Anestimate operator Wk that is related to error operator Bk in the restoration process is introduced to decrease the estimate error and increase the convergence rate. The effect of noise on the estimate process has been described. Finally, the method has been applied to the deconvolu-tion of a blurred signal, the results of which validate the theory. The comparison between presented method and general method has also been given.
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