Minimal bounds on the mean square error (MSE) are generally used in order to predict the
best achievable performance of an estimator for a given observation model. In this paper, we …

In this paper, a new class of lower bounds on the mean square error (MSE) of unbiased
estimators of deterministic parameters is proposed. Derivation of the proposed class is …

In many practical periodic parameter estimation problems, the appropriate performance
criteria are periodic in the parameter space. The existing mean-square-error (MSE) lower …

Many practical signal processing applications involve estimation of parameters with periodic
nature, such as phase, frequency and direction-of-arrival estimation. The commonly used …

This correspondence investigates lower bounds on estimator's mean square error applied to
the passive near field source localization. More precisely, we focus on the so-called …

Various approximations of the Barankin bound (BB), called Barankin type bounds (BTBs),
are usually used to predict the threshold region of the maximum likelihood estimator (MLE) …

This letter investigates Bayesian bounds on the mean-square error (MSE) applied to a data-
aided carrier estimation problem. The presented bounds are derived from a covariance …

This correspondence investigates the Abel bound in order to predict the estimators mean
square error (mse) threshold effect. A tractable and computationally efficient form of this …

Cette thèse porte sur l'étude des performances des estimateurs dans le cadre du traitement
du signal et s' attache plus particulièrement à étudier et unifier les bornes minimales …

Cette thèse porte sur l'étude des techniques d'estimation Bayesienne non-linéaire, et leur
applications aux problèmes de synchronisation pour des systèmes de communication par …