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An upper bound on the mean-square error for Bayesian parameter estimators (Corresp.)

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2 Author(s)

The estimation of unknown parameters of deterministic time-varying signals contaminated with additive Gaussian white noise is considered, and an upper bound is obtained for the mean-square estimation error. As an example, the theory is applied to the synchronous demodulation of pulse frequency-modulated (PFM) signals in Gaussian white noise.

Published in:

IEEE Transactions on Information Theory  (Volume:22 ,  Issue: 5 )