New convergence bounds for Bayes estimators

Using some recently derived spectral expressions for distance measures between vector Gaussian stationary processes, upper bounds are given for the mean-square-error performance of the Bayes estimate of a parameter on the basis of vector Gaussian observations. The result is directly applicable to evaluating the performance of certain adaptive estimation schemes and to finite-state Markov chain systems.