Abstract
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.
Original language | English |
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Pages (from-to) | 342-343 |
Number of pages | 2 |
Journal | IEEE Transactions on Information Theory |
Volume | 34 |
Issue number | 2 |
DOIs | |
State | Published - Mar 1988 |