A class of lower bounds on the mean square error in parameter estimation is presented, based on the Belini-Tartara lower bound. The Wax-Ziv lower bound is shown to be a special case in the class. These bounds often are significantly tighter than the Chazan-Zakai-Ziv lower bound when the parameter to be estimated is subject to ambiguity and threshold effects.
|Number of pages||2|
|Journal||IEEE Transactions on Information Theory|
|State||Published - Mar 1988|