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In signal processing, Barankin bound refers to the greatest lower bound on the variance of an unbiased estimator, tighter than the Cramér-Rao bound when estimation is nonlocal. This meaning comes from Barankin (1949) in The Annals of Mathematical Statistics.[1]
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