Abstract
Iterative methods have of late enjoyed increasing popularity in signal restoration problems. Inherent mathematical difficulties have led researchers to propose ad hoc solutions in many instances. The question of optimality of such solutions is an open one. This paper concerns this question for a class of iterative methods of signal restoration and offers a criterion for optimality based on information theory.
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