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Expansion of band-suppressed restoration for biomedical signals

We shall examine the real-time restoration of biomedical signals under additive noises. The observation system of nonstationary biomedical signals is described using a mathematical model, and several restoration filters that are composed of a series of such models are proposed. These filters restored band-suppressed approximations of the original signals in real-time. An optimum filter that accounts for restoration error and additive noise is proposed.