Analytical Expression for the Posterior Distribution of Signals in Colored Gaussian Noise
Paper i proceeding, 2002

The paper describes a Bayesian approach to estimate the amplitude, s, of a given signal embedded in complex zero mean Gaussian noise with unknown covariance. By employing Jefieys priors to unknown parameters, the posterior distribution is derived analytically. While the resulting estimates, B, are merely reproductions of classical estimates, the Bayesian approach offers an enhanced ability to predict the quality of estimates conditioned on the measured data. This ability is further highlighted by simulations using finite training sets.

Författare

Lennart Svensson

Chalmers, Signaler och system, Signalbehandling och medicinsk teknik, Signalbehandling

Magnus Lundberg

Chalmers, Signaler och system, Signalbehandling och medicinsk teknik, Signalbehandling

Proc. of the 36th Asilomar Conf., Sig., Syst., Comput., Monterey, CA

Ämneskategorier

Data- och informationsvetenskap