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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Title of host publication | Bayesian Bounds for Parameter Estimation and Nonlinear Filtering/Tracking |
Publisher | Wiley-IEEE Press |
Pages | 204-205 |
Number of pages | 2 |
ISBN (Electronic) | 9780470544198 |
ISBN (Print) | 0470120959, 9780470120958 |
DOIs | |
State | Published - 1 Jan 2007 |
Keywords
- Approximation methods
- Estimation
- Filtering
- Mean square error methods
- Parameter estimation
- Signal to noise ratio
- Speech processing