By using a result of Siegert [3], we derive a new identity for the “resolvent” of a covariance function. This identity is used to obtain a simple relation between the “smoothed” and “filtered” linear least-squares estimates of a signal process in additive uncorrelated white noise.
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T. Kailath (1969) studied this question.
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